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A City Doesn’t Grow at One Speed
Using decades of Landsat and Sentinel-2 images, researchers discover the Urban Pulse to help track the cycles and rhythms of how neighborhoods within cities change.
UVA professor explores how to bridge deep political divides in new book
In a time of intense political division, a University of Virginia researcher says the secret to better conversations isn’t winning an argument or even finding common ground, it’s genuine curiosity.
Scientists reveal a hidden snakebite crisis killing up to 513,000 people a year
A startling new study suggests that venomous snakebites are killing far more people worldwide than official statistics indicate, with an estimated 274,000 to 513,000 deaths every year. Researchers found that as many as 7 million people could suffer snake envenoming annually, while more than 800,000 survivors are left with long-term disabilities.
Northwest research trial tests whether a little spit swapping can solve chronic bad breath
Pacific Northwest researchers are testing a new treatment for chronic halitosis.
Cornell astronomy researcher to head planetary science workforce survey
Julie Rathbun, an astronomy researcher in Cornell's College of Arts and Sciences, is leading the 2026 Planetary Science Workforce Survey to assess demographics, career trends and workforce diversity.
University of Arkansas researchers lead maternal health project
The Institute for Integrative and Innovative Research (I3R) at the University of Arkansas is leading a maternal health research project in partnership with Springdale-based healthcare provider Community Clinic. According to...
UCSB Researchers Develop Climate Model for Infant Health
UCSB researchers develop a climate-based forecasting model to predict low birthweights in West Africa and curb malnutrition.
Do spiders dream? Scientists just found a surprising clue
Scientists have discovered that spiders may sleep in ways surprisingly similar to humans, complete with distinct sleep stages and a dream-like REM state. Researchers at the University of Bonn studied the Australian jumping spider Portia fimbriata, a remarkably clever hunter known for its sophisticated strategies. By recording the spiders over several days and nights, they found clear evidence of regulated sleep, including a REM-like stage marked by eye movements and muscle twitches.
Interview: Life Science Hub leadership talks impacts on RI
The Rhode Island Life Science Hub isn't a building or a lab — it's a quasi-public organization that helps researchers and startups in the Ocean State access the funding and equipment they need to achi...
A-State researcher lands NSF award
Arkansas State University has received a National Science Foundation (NSF) award totaling $177,108 to support research aimed at making waste-to-energy systems more efficient, sustainable, and environmentally friendly. Dr. Chiqian Zhang,...
University of Arkansas researchers lead maternal health project
The Institute for Integrative and Innovative Research (I3R) at the University of Arkansas is leading a maternal health research project in partnership with Springdale-based healthcare provider Community Clinic. According to...
Less than 42 minutes of bright daylight linked to higher dementia risk
Getting more daylight could be linked to a surprisingly powerful benefit for brain health. In a study of more than 87,000 adults, researchers found that higher daytime light exposure was associated with a 16% lower risk of dementia, with longer exposure to bright light linked to even greater reductions. Remarkably, getting less than 42 minutes of bright daylight daily was a stronger predictor of dementia than six established risk factors.
Health facility data could improve maternal mortality estimates, study shows
Data routinely collected by health facilities could become an additional source for measuring maternal mortality, but the quality needs to improve. Researchers from Karolinska Institutet and Tanzania ...
Following NASA Grant, TCU Researcher Explains Planetary Defense
Rhiannon Mayne, Oscar and Juanita Monnig Endowed Chair of Meteoritics and Planetary Science at Texas Christian University, was recently awarded a $3.6 million grant from NASA that will use West Texas’
Ex-DOGE startup's AI agents broke into Anthropic's business systems in less than 12 hours
Anthropic says the researchers reached a limited set of sales, HR and IT systems but not Claude conversations, source code or model weights
African Scientists Expand Research into Neglected Women’s Health Issues
More than 200 million African women live with conditions such as heavy menstrual bleeding, fibroids and endometriosis. Researchers say better funding and support are needed to turn local ideas into practical health solutions By Lenah Bosibori Across Africa, millions of women live with severe menstrual pain, fibroids, endometriosis and pelvic floor disorders without timely diagnosis […]
RAND and USC health researchers: Even big self-insured companies can’t rein in health costs
Price transparency won’t fix employers’ health costs.
How to tell if a political poll is legitimate, UTSA researcher explains
Scientists produce less disruptive research as they age, but their breakthroughs are more likely to last
Science often advances in small steps, with researchers gradually building on previous discoveries. But every now and then, a breakthrough comes along that challenges conventional thinking and changes ...
Scientists discover a secret glow in toxic fire salamanders
Researchers have discovered a surprising hidden ability in Europe's familiar black-and-yellow fire salamanders: they glow green and cyan under ultraviolet light. The mysterious fluorescence comes mainly from glands in their skin and their toxic secretions, which can continue glowing for more than 24 hours after being released.
Bottom Jokes Fueled Around a Third of the Taboo Humor in 269 Famously Funny Science Papers
An analysis of 269 humorous scientific papers found that 12.3% used sex, bodily functions or other taboo subjects, though the study did not test readers' reactions.
Q&A: Bats, busted myths and the science behind their superpowers
In this Q&A, UNC Charlotte bat researcher Laurel Yohe discusses what makes these animals so fascinating, clears up common misconceptions and shares highlights from her research in the field and the lab.
Fresher for longer: The science extending the shelf life of food
Extending food’s shelf life is one of the biggest challenges researchers face as they think about how to maximize what is grown in the United States. In this video, meet the University of Georgia researchers studying how fruits and vegetables grown in Georgia and the region can stay fresher, safer, and tastier from farm to
Hugging Face Launches ProtoStar to Tackle Science's Data Problem
There’s a lot of scientific data out there – and universities, government agencies, and research labs have spent decades collecting it. This includes everything from climate change to human biology. Much of it is publicly available. However, that doesn’t necessarily mean other researchers can easily use it. Sometimes, just getting the data into a usable […]
2026-2027 Audree V. Fowler Fellows in Protein Science
Graduate students Lenka Milojević (Zhou group), Akshaya Narayanasamy (Lindert group), Sarah Singleton (Conway group), and Janet Zhong (Feigon group) have been selected as 2026–27 Fowler Fellows and shared their research at a special event on Oct. 13, 2026. 2026-27 Fowler Fellows – Sarah Singleton, Lenka Milojević, Janet Zhong, and Akshaya Narayanasamy. Akshaya Narayanasamy and Prof. Steffen Lindert. Sarah Singleton and Prof. Stuart Conway. Janet Zhong and Prof. Juli Feigon. About the 2026-27 Audree Fowler Fellows in Protein Science Lenka Milojević is a fifth-year Biophysics Ph.D. candidate in the lab of Professor Z. Hong Zhou at UCLA. As an undergraduate at Maastricht University, she studied the structural basis of Mycobacterium tuberculosis virulence and amyloid-β fibril nucleation in the lab of Professor Peter Peters. She completed her bachelor’s thesis research at UCLA in the lab of Professor David Eisenberg, focusing on amyloid disaggregation, before beginning her doctoral studies. In the Zhou lab, Lenka uses cryo-electron tomography to visualize and characterize membrane-associated protein assemblies across a range of viral and cellular systems. Akshaya Narayanasamy is a fifth-year Ph.D. student in the Department of Chemistry and Biochemistry at UCLA, mentored by Professor Steffen Lindert. She earned her B.S.-M.S. in Chemistry from the Indian Institute of Science Education and Research, Thiruvananthapuram, where she worked in Professor Mahesh Hariharan’s lab investigating how single-atom substitutions influence crystal packing and charge transport behavior. She received her M.S. in Physical Chemistry from The Ohio State University before moving with the Lindert lab to UCLA. At UCLA, Akshaya develops integrative modeling methods that combine deep learning and Rosetta with experimental data, such as ion mobility mass spectrometry and cryo-EM, to improve protein structure prediction. Her current work focuses on developing an experimentally guided diffusion model and designing de novo protein binders with potential antibacterial activity. Ultimately, she aims to bridge AI-based structure prediction and experimental data to make computational protein models more reliable for drug discovery and therapeutic design. Sarah Singleton is a 4th year BMSB student, working in Professor Stuart Conway’s lab. She earned her B.S. in Biochemistry at Simmon University (Fenway, MA). Her research is centered on drugging the previously undruggable class of proteins—transcription factors. Zinc finger (ZF)-containing transcription factor proteins typically contain multiple ZF motifs, but little is known about the principles that govern the recognition of multi-ZF arrays by immunomodulatory imide drugs (IMiDs). In a multi-ZF array that contains several potentially targetable ZFs, which will be accessible and why? How does the surrounding protein architecture inform IMiD recognition? Sarah’s research aims to utilize her findings on the fundamental principles of ZF recognition to design IMiD therapeutics for transcription factors involved in health and disease. Janet Zhong is a fourth-year BMSB student, working in Professor Juli Feigon’s laboratory. She received her BSc and MRes from Imperial College London. At UCLA, Janet combines cryo-electron microscopy (cryo-EM) and biochemical approaches to investigate how proteins and RNAs assemble into ribonucleoprotein structures. Her research focuses on telomerase, the enzyme that maintains chromosome ends, with interests in its structure, assembly, and mechanisms. She has also worked on capturing the cryo-EM structure of a small bacterial non-coding RNA called raiA motif RNA. About Dr. Audree Fowler A strong supporter of the basic sciences and medicine at UCLA, alumna Dr. Audree Fowler (B.S. ’56 chemistry, Ph.D. ’63 biochemistry) established the Audree V. Fowler Fellows in Protein Science in 2008. Fowler was Director UCLA Protein Microsequencing Facility from 1984-1999 and is a Researcher Emeritus of the UCLA Department of Biological Chemistry. She is one of the first four women to receive a Ph.D. from the UCLA Department of Chemistry & Biochemistry. In 2018, the women were awarded the department’s 2018 Alumni Legacy Awards in recognition of their achievements in life, and generous support and service to UCLA. “The sciences gave me a great life. Now I want to help others have access to the same opportunities I enjoyed,” Fowler explained when she established the Fowler Fellowships endowment. Applications for the fellowships are solicited from graduate students in the Molecular Biology Interdepartmental (MBI) Ph.D. Program, Biological Chemistry, and Chemistry & Biochemistry Departments. In addition to presenting their research at a special seminar, the recipients each receive a $5,000 award. Previous Fowler Fellows from the UCLA Department of Chemistry & Biochemistry 2025-26 – Nikki Cheung (Clubb Group), Jonathan Jih (Zhou Group), Eileen Olivares (Loo Group), and Lily Taylor (Rodriguez Group) 2024-25 – Andrew Goring (Clubb lab), Eric Pang (S. Clarke and Rodriguez labs), and Miranda Villanueva (Backus lab) 2023-24 – Alexandra Turmon (Backus lab), Cindy Wang (S. Clarke and C. Clarke labs) 2022-23 – Cody Gillman (Gonen lab), Declan Evans (Houk lab), Troy Lowe (S. Clarke lab), Ashley Julio (Backus lab), and Alex Stevens (Hong Zhou lab) 2021-22 – Weixian Deng (Wohlschlegel/Plath labs), Yi Xiao “Sean” Jiang (Eisenberg lab), Maria Flores (Rodriguez lab), Carter Lantz (Loo lab), and Logan Richards (Rodriguez lab). 2020-21 – Janine Fu (Loo lab), Calina Glynn (Rodriguez lab), and Jiahui Lu (Eisenberg lab) 2019-20 – David Boyer (Eisenberg lab), Orlando Martinez (Clubb lab) and John Muroski (Loo lab) 2018-19 – Scott McConnell (Clubb lab), Kevin Murray (Eisenberg lab), Rebeccah Warmack (S. Clarke lab) 2017-18 – Michael Hughes (Eisenberg lab), Yuxi Liu (Yeates lab), Kanishk Jain (S. Clarke lab) 2016-17 – Brendan Amer (Clubb Lab) and Jeff Vinokur (Bowie Lab) 2015-16 – Henry Chan (Feigon lab), Smriti Sangwan (Eisenberg lab), Nicholas Woodall (Bowie lab) 2014-15 – Dan McNamara (Yeates lab) 2013-14 – Alex Jacobitz (Clubb lab), Alexander Patananan (S. Clarke lab), Carly Ferguson (Loo lab) 2012-13 – Letian Xie (C. Clarke lab), Anni Zhao (Eisenberg lab) 2011-12 – Timothy Anderson (Clubb lab), Soohong Kim (Weiss lab) 2010-11 – Zeynep Durer (Reiser lab), Cecilia Zurita-Lopez (S. Clarke lab) 2009-10 – Luki Goldschmidt (Eisenberg lab), Kristofer Webb (S. Clarke lab), Sheng Yin (Loo lab) 2008-09 – Nathan Joh (Bowie lab), Neil King (Yeates lab) Photos courtesy of Helen Houldsworth, the Molecular Biology Institute.
Researchers May Have Cracked The Science Of Falling In Love With Hot Anime Guys
New paper finds U.S. players find emotional connection key to having fun In games like Love and Deepspace
Canada's particle accelerator ambitions gather pace as TRIUMF advances rare isotope science
As Canada's particle accelerator centre enters this next phase of development, researchers will continue pursuing answers to some of the most fundamental questions in science while simultaneously generating knowledge with practical value for society.
Did the Hardest A.I. Problem Just Get Much Easier?
A prominent researcher claims to have a revolutionary approach to “interpretability,” or the science of why A.I. models do what they do. Other experts aren’t so sure.
Science Begins With Wonder and Sometimes With a Salamander.
The Bar Harbor Story is generously sponsored by the Don & Beth Straus Center at Birch Bay Village. BAR HARBOR—The children had come to see the axolotls, those odd little salamanders with pink frills around their heads and the remarkable ability to grow back what they lose. But also there were stickers. There were crafts. There was the kind of excitement that makes a roomful of kindergarteners forget, for a little while, that sitting still is ever a requirement. And then there were the animals themselves, alive in their clear cases at the MDI Biological Laboratory, where 12 children from Pemetic Elementary School got to meet the creatures they had been learning about in class. “Do you love them?” their teacher, Carol Null, asked. The answer came back in a chorus. “I do!” “I do!” “I do too,” Null said, smiling. “I love them even more now.” That was the thing about a day at the lab. Science was no longer a picture in a book, or a word on a classroom wall. It had a face, a tail, and a set of extraordinary powers. And for a child, sometimes that is where wonder begins. Sometimes learning about science is about stickers. Sometimes it’s about bright pink feathers and getting super excited about that glow in the dark. Sometimes learning about science is joy—pure and simple joy. That’s how it was October 28 at the MDI Bio Lab as Miss Hannah (known in the lab as Dr. Hannah Lust, director of STEM, undergraduate and graduate Training), other scientists, graduate students, and MDI Bio Lab staff, hosted 12 students from Carol Null’s Pemetic Elementary School’s kindergarten class. The 2.5-hour program created by Dr. Lust focused on axolotls, a species of mole salamanders, a superhero in the animal world: a superhero with some scientific-study worthy superpowers. One of those superpowers come from the axolotls’ ability to regenerate body parts, including entire limbs. But also, they’re cute. This fall, before coming to the internationally renowned lab nestled in Salsbury Cove, Null has been integrating axolotls into her class. They’ve been part of the kids’ vocabulary and their storytelling. They’ve been part of science. They’ve been part of the children’s learning about facts vs opinions. The Pemetic Elementary kindergarten students learn about invasive species and the impact on the ecology and one student related it to their dad, who lobsters, and his worries about green craps, an invasive species in Maine. “Are they bigger or smaller than you thought they’d be?” the children are asked after the scientists show them multiple see-through cases of axolotls, lined up on a table that they’re told not to jiggle. “Bigger!” “I think they’re bigger.” “Smaller!” The bio lab opening its doors to the collaborations and to students and families is a norm, but this is the first program of this kind. It’s meant to encourage kindergarten students about axolotls. But when the students come to the bio lab something else happens too—something beyond Null’s child-focused teaching—the students see science—and the regenerating creatures in real life. They do crafts. They speak with them. They meet people who know all about them: scientists and educators who talk to the kids like they’re equals. That’s a superhero power, too. Null speaks about meeting the kids where they’re at in her classroom, letting their interest and hearts lead her in their learning. That requires recognition of interests, of individuality, of empathy. Some would argue that’s a super power, too, but it’s also in those 12 students as they listen to the storybook, encounter those live axolotls, and hear about how axolotls might help advance society’s understanding of human health. As Eddie Seckeler (comparative animal models, CORE facility manager), carefully puts the axolotls on a cart and rolls them away, some of the children stop what they’re doing to watch. “Bye axolotls.” “Bye!” “Bye!” The axolotls are not just images in a book, Hello, I’m an axolotl by Hayley and John Rocco; they are real and cool. MDI Biological Laboratory scientists Dr. Prayag Murawala and Dr. James Godwin who both feature in the Roccos’ book. The kindergarteners get to meet them in real life, off the page, in the world, doing science. They learn from them, laugh with them. “The visit is about more than meeting an unusual animal. By introducing children to scientists working in their own community, the experience helps make science tangible and accessible. Students can see that science is not just something they read about in books or learn about at school. It is something real people do every day by asking questions, making observations and working to understand how the world works,” explains MDI Biological Laboratory Director of Communications Rebecca Woods. While the students make axolotl-related crafts around tables, graduate students and staff help out. Ryan holds up his construction paper setting and axolotl to show Omar Maged, a graduate student. “Do you like it?” Ryan asks, eyes wide, turning from his axolotl to look up at Omar. Omar studies the construction paper for a moment, smiles and says definitively, each word important. “It is beautiful.” Null says that she’s so thankful for all the “amazing” community partners that her school and her students get to interact with as they learn and grow and live, but emphasized how the MDI Bio Lab goes out of its way to create something meaningful, something that allows her young students to build their own agency, to know that they can be impactful in their community, to show them how how things they learn about in text is connected to themselves and their community. Woods explains, “Axolotls have an extraordinary ability to regenerate, or regrow, certain body parts, including limbs. Scientists study these animals to understand how regeneration works and what their biology might teach us about tissue repair and healing in humans.” The children enter the space for “a memorable introduction to a big scientific question,” Woods said. “How can some animals regrow body parts? The encounter encourages children to look closely, wonder about what they see and begin to understand how scientists use observations and experiments to investigate questions.” “For the students, the visit is an opportunity to explore a fascinating animal and meet scientists in their own community,” Woods explains. “For MDI Biological Laboratory, it is a chance to share the excitement of research, nurture curiosity, and help young learners discover that science begins with asking questions.“ At the beginning of the school year, Pemetic kindergarteners didn’t know what the axolotl was—at least not exactly—now they know all about the axolotl’s life cycle. “It’s different than a butterfly,” one student told Mrs. Null. It is. The change and knowledge might seem small**,** but it offers a glimpse of what happens when a subject moves beyond the pages of a book and into a child’s world. The children have been learning about butterflies at the Charlotte Rhoades Park and Butterfly Garden. At both the garden and the MDI Bio Lab, the children see the animals, meet the scientists who study them and at the lab encounter a question that researchers are still working to answer: how can some creatures regenerate body parts, and what might that teach us about healing in humans? They leave with gift bags, paper-plate salamanders, new things to wonder about and a connection between the science they learn in school and the work happening in their own community. The axolotls may be remarkable for their ability to grow back what they have lost. For these young students, the day offers something different: a chance to discover how much there is to ask, observe, and imagine. When Null’s students had time to use chalk and draw whatever they want, in the beginning of the year, they drew rainbows. Now? They’re using that chalk and choosing to draw axolotls instead. About MDI Bio Laboratory For more than 125 years, MDI Bio Lab has been a center for training and research in comparative biology. In the last two decades its biomedical research has focused on aging, regeneration, and environmental toxins. The Laboratory houses 11 research groups staffed by an international team of world-class scientists and graduate students. It also leads a statewide network of colleges, universities and research institutions that collaborate to provide training, research experiences and financial support to help young Mainers play a bigger role in today’s biomedical revolution. Located on Maine’s rugged coast, the Laboratory’s 100+ acre campus houses research facilities, cottages and dorms that house visiting scientists and students. It is also home to MDI Bioscience, a subsidiary working to design innovative techniques to speed the drug discovery process. The Bar Harbor Story is generously sponsored by Rick Osann Art. LINKS TO LEARN MORE NIH INBRE MDI BIOLOGICAL LABORATORY Pemetic Elementary School Hello, I’m an Axolotl Photos: Carrie Jones/Bar Harbor Story HELP SUPPORT THE BAR HARBOR STORY When we started The Bar Harbor Story, we didn’t know if anyone would read it. But you showed up. You shared. You sent tips. Now—over 400,000 views every month later—it’s clear: people here care about their community and each other. We’ve kept everything free because news should never be out of reach, but every one of our stories takes time to write, and your support keeps The Bar Harbor Story going. If you value our work, please consider a paid subscription, a founding membership, or a sponsorship. It truly helps us cover one more meeting, tell one more story, shine one more light. Even $5 a month makes a difference. Click here to become a one-time supporter now. Thank you so much for being here. Founding member information can be found here. Have questions about sponsorships? Just send Shaun an email at sfarrar86@gmail.com, he’d love to hear from you. Subscribe Share Bar Harbor Story Share Leave a comment
What smart people are saying about the $6 billion Binance hack
After hackers stole more than $6 billion from Binance, executives and researchers raced to figure out what went wrong.
Researchers leaving U.S. over Trump funding cuts and political climate
Foreign universities are attracting American scientists with offers of stable funding and academic freedom amid research cuts under Trump.
High metal exposures after wildfires may affect lung function
After the Maui wildfires, researchers found a link between participants exposed to higher levels of metal mixtures and worse lung function.
High school science teacher partners with WSU Tri-Cities researchers to explore bioplastics
A high school science teacher and WSU Tri-Cities alumna spent the summer working with university researchers to explore how agricultural waste can be turned into bioplastics, gaining hands-on experience to bring back to her classroom.
MI Prop 26-2 aims to restrict political spending, researcher weighs in
A Michigan researcher explains Michigan’s Prop. 2, saying the proposal would amend the Michigan Campaign Finance Act to add new rules on political contributions and ad disclosures.
How Can Science Better Support Interdisciplinary Researchers?
Academics and industry experts discuss how science can better support interdisciplinary researchers through reforming funding applications, collaboration, and traditional career advancement.
Ancient fish, modern science: Rice researchers go fishing in Houston’s backyard
A few dozen miles from the Gulf of Mexico, in a river winding through the Houston area, a fish with a lineage stretching back tens of millions of years was waiting beneath the surface. When it took the bait, Rice University researchers got the chance to bring the specimen back to the lab.
What killed 500-plus penguins? How scientists solved the mystery
The penguins that perished lived on the Danger Islands in Antarctica. The prime suspect was avian flu. Researchers were surprised by what they found.
What Happens When Microplastics Meet Water? Scientists Uncovered a Potential Source of Cell-Damaging Molecules
Researchers tested six common plastics and found that the materials used in grocery bags and yogurt cups were among the most chemically active.
As wild rice declines on Minnesota’s lakes, the Science Museum is looking to the past to guide future restoration
Wild rice is part of the fabric of Minnesota. Researchers at the Science Museum of Minnesota are exploring why it’s disappearing — and what can be done about it.
An AI Breakthrough Has Made Decades of Computer Science Research ‘Irrelevant’
Anthropic and OpenAI say they’ve disproved a key tenet of computer science. Researchers are struggling with the fall but also feel like “overexcited bunnies” as they look at new questions to explore.
Men with lower testosterone at 31 reported good health 15 years later
Researchers analyzed testosterone concentrations measured at age 31 in 2,691 Finnish men and assessed self-reported health, medical conditions, and quality of life at age 46. Men across testosterone quartiles generally reported good health and excellent quality of life, while differences in metabolic and gastrointestinal conditions lost statistical significance after adjustment for waist circumference.
University of Arkansas researchers lead maternal health project
The Institute for Integrative and Innovative Research (I3R) at the University of Arkansas is leading a maternal health research project in partnership with Springdale-based healthcare provider Community Clinic. According to...
Johns Hopkins Researchers’ Cancer Cell Mapping Technology Chosen for Anthropic AI for Science Project
Johns Hopkins University astrophysicist Alexander Szalay, Ph.D., and Johns Hopkins Medicine Department of Dermatology and Sidney Kimmel Comprehensive Cancer Center pathologist Janis Taube, M.D., M.Sc., were chosen for a research project in Anthropic's AI for Science program. They were selected for their pioneering AstroPath technology, which combines astronomy, pathology and artificial intelligence (AI) to create detailed maps of tumors, revealing how cancer cells interact with surrounding cells
‘The potential to destroy:’ Invasive pest sparks action from Florida scientists
University of Florida researchers have secured $200,000 in federal funding to investigate how an emerging threat could possibly be managed.
UCD recognises Jocelyn Bell Burnell for achievements in science and philanthropy
UCD has recognised the achievements of Dame Jocelyn Bell Burnell and her commitment to creating the researchers of the future.
Most teens who used AI for mental health support wanted more help
Researchers surveyed 24,132 students in England and found that 2.7% had used general-purpose AI for mental health support during the previous year. Among users who answered the relevant questions, 55.9% rated the support helpful, yet 63.2% wanted additional assistance, with greater unmet needs reported among adolescents experiencing mental health difficulties and social adversity.
After Reinventing Mathematics, Can A.I. Eradicate Computer Bugs?
Using the same techniques that allowed A.I. technologies to crack a million-dollar math problem, researchers are building new systems that aim to solve the world’s cybersecurity crisis.
Exclusive | Asian scientists are looking to South Korea as it becomes harder to stay in the US
Seoul university says it’s luring researchers in energy, quantum materials and biomedicine while still working with US and Chinese partners.
California researchers awarded grant to develop sudden cardiac arrest early warning system
DALLAS, Oct. 29, 2026 — More than 600,000 cardiac arrests occur in the U.S. each year, and survival rates remain low both in and out of the hospital, according to the American Heart Association. A new research project funded by the Association will...
Scientists are using sharks to forecast hurricanes. The secret lies in what they track beneath the waves.
Researchers at the University of Delaware are using specialized telemetry tags on sharks to measure ocean heat and improve hurricane intensity forecasts along the East Coast.
Scientists Made an 80-Year-Old’s Cells Look 19 Years Old. Could It Mean Aging Is Reversible?
By reprogramming red blood cell precursors into neural stem cells, researchers effectively reset the cell’s molecular clock.
Speech-based clock captures aging
Researchers found that many speech features such as pitch, timing, and word choice can help detect accelerated aging and dementia.
Petting Dogs Was Supposed To Lower Stress—Scientists Found Something Else
The real benefit may kick in later than expected, with researchers uncovering a surprising shift in the body's response to stress.
An early-warning system for child health in West Africa
Researchers created a system to predict birthweights in food-stressed West Africa, using climate and socioeconomic data
How Forensic Scientists Decode the Scent of Human Decay
By sampling and dissecting the odors released by decomposing human bodies, forensic scientists can help police and canine searchers better locate victims’ remains.
Snowfall and clouds may slow East Antarctic ice loss in a warmer world
A new modeling study, published in the journal Nature Climate Change, suggests that the East Antarctic Ice Sheet may be more resilient to extreme long-term warming than previously estimated. Increased snowfall, greater cloud cover, and changes in atmospheric circulation could partially offset ice loss—even under very high carbon dioxide concentrations. Researchers from the IBS Center for Climate Physics at Pusan National University in South Korea conducted idealized simulations with different atmospheric CO2 levels, spanning 100,000 years using a coupled global climate–ice-sheet model. Unlike conventional studies that prescribe atmospheric and oceanic conditions, the model allowed climate and the Greenland and Antarctic ice sheets to evolve together.
The vaginal microbiome may relate to more than reproductive health
Researchers analyzed vaginal microbiota, metabolites, and psychological questionnaire scores in 105 young Italian women and found associations between microbial community types and reward responsiveness, motivational drive, and behavioral inhibition. Exploratory models identified statistical links involving vaginal GABA and valine, but the cross-sectional study could not establish whether microbiome changes influence psychological functioning or the reverse.
Minnesotans urged to join citizen science effort to track and collect ticks
ST. PAUL, Minn.—Researchers in Minnesota are calling on outdoor enthusiasts, hunters, livestock owners and pet owners across the state to aid in a statewide citizen science effort to map and
UC Berkeley scientists eye life abroad as Trump administration politicizes research
Some are considering programs run by France, Canada and other countries that aim to recruit weary U.S. researchers.
FSU Health informatics researcher named fellow of American College of Medical Informatics
Florida State University Professor Zhe He has been elected a fellow of the American College of Medical Informatics (ACMI), one of the highest professional
UT Health Sciences and UW-Madison Researchers Partner to Advance Potential Alphavirus Treatment
UT Health Sciences Researcher part of team studying antiviral drug for alphaviruses.
A researcher who tracked every healthcare merger since 2000 says they're driving up costs
Minnesota is quickly becoming the land of healthcare mergers, with four potential deals announced this year. Yale University professor Zack Cooper joined Minnesota Now for a closer look at nationwide consolidation in healthcare.
Texas Republicans sound alarm over early voting as JD Vance rallies supporters in North Texas
Republican researchers report a narrow advantage among voters who participated in Democratic primaries.
New study reveals how happiness science influences the personal lives of researchers
Many of the world's leading happiness researchers say they consciously spend more time with loved ones after seeing the evidence, according to a new paper.
I’m a skeletal biology researcher. Here’s what you need to know about bone loss.
The quiet nature of bone loss makes menopause an important time to bring skeletal health into the conversation.
Scientists discover a surprising brain benefit of eating peanuts every day
A surprising new study suggests that eating peanuts every day could help support brain health and memory in older adults. Researchers found that consuming about two servings of unsalted, skin-roasted peanuts daily for 16 weeks improved insulin responsiveness in brain regions important for memory, a function that often weakens with age and has been linked to Alzheimer's disease.
New AI tool helps scientists identify bacteria hidden in soil
A handful of soil holds a crowded world of bacteria, fungi and other organisms. Scientists can collect their DNA, but much of it remains difficult to identify. Now, researchers at the Hebrew University ...
At 80, he’s a top dementia expert. Here’s how he keeps his brain healthy.
Researcher Ron Petersen says there are simple things we can all do for healthier cognitive aging.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
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In the AI Investment Brief today: CapEx updates and lease commitment breakdowns Anthropic co-founder Jack Clark recently said in a speech at the IMF that the singularity has begun: For many years, researchers and science fiction authors have forecast a future in which AI systems drastically increase the pace of overall scientific and technical progress, making things move so quickly that it is hard for humans to keep up. They call this the singularity. I believe that this year we have gained convincing evidence that it has now begun. This follows Anthropic’s claim that in August, 26% of its AI R&D was led by Claude, with a human supervising its work. In October, OpenAI posted 719 math manuscripts1 made by its internal model. Math and coding are two fields where a research loop can close without leaving the desk. But can the loop close in the rest of science? Subscribe The loop is real The idea is not new. Mathematician Irving John Good, who had worked with Alan Turing at Bletchley Park, argued that a machine smarter than us “could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind.” The Gödel machine, a self-improving computer that can rewrite its own code better than its prior, was first proposed in 2003. In 2025, researchers at Sakana AI and the University of British Columbia set out to show that this was possible. Their agents iteratively improved their own code through a feedback loop, resulting in gains of 30 pp on SWE-bench and more than 15 pp on Polyglot, testing coding skills beyond Python. The idea has since been tested in other labs. A Gemini-powered agent called AlphaEvolve found a faster matrix multiplication kernel used for training Gemini, speeding up the kernel by 23% and cutting Gemini’s training time by 1%. In China, MiniMax reported that its M2.7 model worked on improving its own agent’s harness, skills, sampling and memory. Over 100 rounds of rewriting led to a 30% gain, per its internal evaluations. In each case, what was being rewritten was not the model itself but everything around it. Is it better than human work? In September this year, in what seemed like a milestone, an AI-built agent proved as good at improving other AI agents as a human-built one. It did that in what appeared to be half the steps. But the result was inconclusive: the differences between runs were greater than the difference between the AI- and human-built agent results. Nonetheless, this is increasing the chatter around recursive self-improvement (RSI) in AI. Google’s Sundar Pichai said that “you have RSI loops along with AI researchers in various aspects of model development.” Sakana AI published a paper on RSI through multi-agent collaboration, finding that after two cycles its system scored 1.2–1.6x better per output token than the base model across four research benchmarks. Ramez Naam challenges that view. He splits AI self-improvement into five overlapping types. The first four describe how autonomous the AI is; so far, only types 1 and 2 have been observed. The fifth type describes accelerating returns, and he notes that greater autonomy doesn’t guarantee a takeoff scenario. Instead, each round of self-improvement would need to deliver at least as much as the last. The results from Sakana, AlphaEvolve and MiniMax above might look like type 3 or type 4 autonomy. But in each case, the AI wasn’t updating its own weights directly, only the ancillary parts — the harness, the memory. And where Claude leads its own R&D, for now a human still supervises.
Global Health & WASH
The US National Institutes of Health reopened its center and program-project machinery in force. NIGMS is funding Collaborative Program Grants for interdisciplinary teams, NIAID opened both its Immune Tolerance Network and a next-generation R&D call, the NCI runs its Carcinogen Hazard Assessment Monographs program, the National Library of Medicine is funding institutional training in biomedical AI and data science, and NIH reopened its Centers for AIDS Research. The tell: these pay for standing centers and multi-year consortia at institutions with an existing funded research base, not one-off projects, so the fit is an established US research institution, not a single investigator. Disease-specific foundations are again funding the researcher, not just the research. The Parkinson’s Foundation opened its Paul Oreffice Innovations in Care Award and the National Ataxia Foundation its Research Seed Money Grant. The tell, the same one we flagged last cycle, is a named early-career or seed award that builds a pipeline of scientists committed to one condition, so what wins is a researcher willing to specialize. The post-USAID global-health money is routing through a State Department program statement and multilateral innovation funds. The US Department of State’s Bureau of Global Health Security and Diplomacy opened its Advancing Global Health Annual Program Statement, Grand Challenges Canada opened Nexa Lighthouse for climate and health innovation in Asia and the Pacific at USD $250,000 to $2,000,000, and CEPI opened a rolling call on vaccine-manufacturing analytics. The tell: the largest health money this cycle sits in a standing program statement and in staged innovation vehicles, not in a single bilateral grant. Total Estimated Funding Pool: ~$35.4M across discrete grants. (Separately, large national-formula envelopes not counted in this total: U.S. Department of State, Bureau of Global Health Security and Diplomacy (GHSD).) This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. New opportunities: Paul Oreffice Innovations in Care Award, Parkinson’s Foundation. *New!* *Closing soon!* The Parkinson’s Foundation created the Paul Oreffice Innovations in Care Award to fund clinicians rethinking how people with Parkinson’s disease receive care. The Foundation is using pilot funding to move promising ideas into testable projects, backing work across four lanes: strengthening community clinician capability, redesigning care models, building patient-centered technologies, and defining the minimum clinical datasets that make better standards possible. It wants hypothesis-driven, clinically grounded projects that can generate evidence strong enough to attract further funding. By opening the door to clinicians at every career stage and strongly preferring projects that involve people with Parkinson’s in their design, the Foundation signals that it values practical, patient-shaped innovation over prestige. The strongest fits are US-licensed clinicians with a focus on Parkinson’s and an institutional home for applied care research. Geographies: united states. Who can apply: Clinicians of all career stages, from fellows to established faculty, who are licensed to care for patients in the United States and have a significant focus on Parkinson’s disease. Physicians must have completed a neurology residency (or justify how their training pathway benefits people with PD); allied health professionals must hold an advanced degree, typically a PhD. Fellows, those in mentored positions, and those within two years of starting an independent position require a mentor and a mentor support letter. The sponsoring institution’s grants office is the authorized recipient and funds are disbursed to the institution. Funding amount: Maximum of $200,000 over two years; up to three awards. Targeted Sectors / SDGs: Health; Innovation; Science & Technology. Deadline: November 1, 2026. Learn more and apply here. Design and Deliver the Next EIT Health Bootcamps, EIT Health. *New!* *Closing soon!* EIT Health is opening its call for consortia to design and deliver the next generation of its health start-up bootcamps, funding the curriculum, masterclasses, mentoring, and investor engagement that turn early health ventures into fundable companies. The organization is using these learning paths to strengthen Europe’s health innovation pipeline across digital health evidence, deep tech and AI commercialization, cross-border investment, and patient access. What EIT Health wants to back is not a single course but durable delivery capacity built by partners who span industry, education, and research. Requiring multi-country consortia and a revenue-sharing stake in the programs signals that EIT Health expects these bootcamps to outlast the grant. The strongest fits are established training providers, universities, and industry partners with proven reach into health entrepreneurs. Geographies: Europe. Who can apply: Consortia only (individuals cannot apply), comprising a minimum of two and a maximum of five independent legal entities. Partners must cover at least two sides of the Knowledge Triangle (industry, education, research), including at least one industry organisation, and at least two entities must be legally established in different Horizon Europe countries. Funding amount: Foundational Learning Path: up to EUR €112,000; Thematic Learning Paths: up to EUR €124,500 per path (up to four thematic projects); up to EUR €610,000 total EIT Health funding available under the call. Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. Technology Transfer Offices & Entrepreneurship Support Call (Beyond the Lab: From Research to Venture), EIT Health. *New!* *Closing soon!* EIT Health is opening its Technology Transfer Offices and Entrepreneurship Support Call to fund consortia that will deliver the Beyond the Lab: From Research to Venture program for healthcare researchers. EIT Health is using the grant to build local capacity for turning laboratory science into incorporated start-ups, paying experienced technology transfer offices and entrepreneurship support providers to run masterclasses, structured mentoring, and a closing Pitch Day across two cohorts. It wants to back organizations that can walk researchers from discovery to company formation, not just teach theory. Requiring two transfer offices plus one venture-building provider signals that EIT Health values proven commercialization experience alongside academic reach. The strongest fits are European research-commercialization teams with a track record of moving health innovations toward investable ventures. Geographies: Europe. Who can apply: A consortium of two Technology Transfer Offices (representing higher education institutions or research organisations) and one Entrepreneurship Support Provider with demonstrated experience in venture building and start-up support. Applicants may apply for more than one learning path where they can demonstrate the required expertise and capacity for each. Funding amount: Up to EUR €77,000 in 2027 and up to EUR €77,000 in 2028 (up to EUR €154,000 total per consortium over two years). Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. EIT Health RIS Country Representatives Call (2027-2028), EIT Health. *New!* *Closing soon!* EIT Health is seeking organizations to serve as Country Representatives across eleven Regional Innovation Scheme countries in central and eastern Europe for the 2027 to 2028 period. The money funds a national anchor in each country, an organization that maps the local health innovation ecosystem, connects startups and researchers to EIT Health programs, and builds the stakeholder relationships that let health ventures grow. EIT Health is backing local capacity rather than individual projects, which is why it accepts both single organizations and national consortia that span education, research, and industry. The requirement for co-financing signals that it wants representatives already embedded in their national systems. The strongest fits are established ecosystem builders with deep ties to health innovation stakeholders in one eligible country. Geographies: Croatia; Czech Republic; Estonia; Greece; Hungary; Latvia; Malta; Romania; Serbia; Slovenia; Turkey. Who can apply: Registered legal entities established in one of the eligible EIT RIS countries. Single organisations or national consortia may apply. Consortia must include at least two sides of the Knowledge Triangle (education, research and industry), and all consortium partners must be established in the same eligible country. 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