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Results for " Rob " 7,322 found 🔀 AI-powered Shuffle

Why Rock Ya-Sin Is Poised to Replace Terrion Arnold

No matter what happens in court, the Lions have a major problem to solve—and Rock Ya-Sin may be the biggest beneficiary.

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Jun 28 • 5:35 PM EDT • Sports • sports.yahoo.com
Paso Robles unveils entertainment lineup for July 4th celebration at Barney Schwartz Park

The evening's entertainment will begin at 5:30 p.m. with a performance by Garden Party, a local group playing music from the 1960s and 1970s.

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Jun 28 • 5:30 PM EDT • Entertainment • ksby.com
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Health insurers are looking for MAHA wins

The companies are offering benefits aimed at appealing to Robert F. Kennedy Jr. and his Make America Healthy Again movement.

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Jun 28 • 4:00 PM EDT • Health • politico.com
Efzimfotase alfa demonstrated improvements in bone health in treatment-naïve pediatric patients with hypophosphatasia achieving median difference of 1.67 vs placebo in RGI-C Score at week 25 in MULBERRY Phase III trial

Positive results from the MULBERRY Phase III trial showed that efzimfotase alfa (ALXN1850), an investigational enzyme replacement therapy, demonstrated a statistically significant and clinically meaningful improvement in bone health in children (2 to

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Jun 28 • 3:45 PM EDT • Health • astrazeneca-us.com
Microbusinesses celebrate New York state’s first cannabis showcase

Five years since the legalization of recreational marijuana in New York state, business owners and growers are still struggling and navigating their way through the complicated legal status and policies surrounding the cannabis industry.

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Jun 28 • 3:19 PM EDT • Business • spectrumlocalnews.com
🚨 BREAKING: Robert Lewandowski agrees multi-year deal with Chicago Fire

Major League Soccer looks set to add another iconic veteran presence to its ranks this summer, with Polish legend Robert Lewandowski reportedly primed for a move to Chicago Fire.Per The Athletic, the ...

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Jun 28 • 2:22 PM EDT • Sports • sports.yahoo.com
Assessing the claim that the U.S. government is abandoning science

The people who do not trust science today would probably like to be able to. And the people who do trust it may simply be unaware of the problems.

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Jun 28 • 1:53 PM EDT • Science • mindmatters.ai
GOP Sen. Cassidy seeks to explains RFK Jr. confirmation vote for Health and Human Services

Sen. Bill Cassidy (R-La.) in a Sunday inteview sought to explain his controversial vote to confirm Health and Human Services (HHS) Secretary Robert F. Kennedy Jr., as he said Kennedy is dug in on h…

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Jun 28 • 1:15 PM EDT • Health • thehill.com
RF Hacking A Ceiling Fan Via The Remote

[Sam Wilkinson] recently installed a Dreo CLF513S ceiling fan in his place — it’s cheap, well-sized, and blows air around as you’d expect it to. The only problem is that it only w…

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Jun 28 • 1:00 PM EDT • Technology • hackaday.com
Sarasota Business Awards honor innovation, entrepreneurship and the American spirit

The Greater Sarasota Chamber of Commerce recognized businesses in the community across 10 categories.

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Jun 28 • 12:00 PM EDT • Business • yourobserver.com
These tiny soil microbes could rescue crops from salty farmland

Researchers have discovered that beneficial soil bacteria give plants an unexpected survival advantage in salty soils. Instead of helping plants keep salt out, the microbes stimulate the production of lignin, a natural compound that strengthens roots and makes plants more resilient. Greenhouse and field tests showed healthier plants and higher yields in salty conditions. The findings could lead to bio-based treatments that help farmers grow crops on land once considered too salty for agriculture.

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Jun 28 • 8:00 AM EDT • Science • sciencedaily.com
GM hires talent from rivals to solve self-driving car problem

GM has made several key executive hires since 2025 and brought back Cruise alums to ramp up its self-driving tech development in personal cars.

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Jun 28 • 4:41 AM EDT • Business • businessinsider.com
Politics: Sand speaks with TH on launch of “Rob-publicans” campaign

Ahead of the unveiling of his “Rob-publicans” campaign, Democratic Iowa gubernatorial candidate Rob Sand sat down with the Telegraph Herald to discuss his stance on excess partisanship and what it

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Jun 28 • 2:00 AM EDT • Politics • telegraphherald.com
Robison leaves legacy of building partnerships as he accepts next public health challenge at state level

…

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Jun 27 • 9:07 PM EDT • Health • bgindependentmedia.org
Guilty Gear: Strive DLC character Robo=Ky launches July 2

Guilty Gear: Strive downloadable content character Robo=Kuy will launch on July 2, developer Arc System Works announced.

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Jun 27 • 5:19 PM EDT • Technology • gematsu.com
New York Knicks Champion Mitchell Robinson Makes Heartfelt Post

Mitchell Robinson is coming off his eighth season in the NBA.The 28-year-old has become an extremely valuable player for the New York Knicks in that span.He is coming off a season where he averaged 5.7 points, 8.8 rebounds and 1.2 blocks per contest while shooting 72.3% from the field in 60 games.Knicks Champion Robinson Makes […] The post New York Knicks Champion Mitchell Robinson Makes Heartfelt Post appeared first on HEAVY.

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Jun 27 • 3:48 PM EDT • Sports • sports.yahoo.com
City of Palms new downtown parking program: How local business react to the change

The Fort Myers City Council recently approved a change impacting parking rates at all three of downtown Fort Myers' parking garages. As it stood, visitors would receive one hour of free parking followed by a hourly rate. Now, the change has made it so visitors are entitled to two free hours followed by a hourly rate. Local business owners and managers said it's a good idea giving visitors more time to bask under the royal palms and indulge in some shopping. But one general manager points out a problem that did not start yesterday, but years prior.

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Jun 27 • 1:51 PM EDT • Business • wgcu.org
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Colorado microbiome expert shares ways to improve gut health
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Jun 27 • 1:49 PM EDT • Health • cbsnews.com
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Israel’s Vance problem is bigger than JD Vance

Vice President JD Vance has become the face of a Washington that no longer treats Israel as the exception to "America First."

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Jun 27 • 10:00 AM EDT • Politics • politico.com
The war for Burnham’s ear: politicians and wonks fight for influence over a PM

There is high emotion, a deluge of policy papers and an ‘excruciating’ jostle for jobs as Labour’s probable next leader settles back into Westminster life

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Jun 27 • 9:00 AM EDT • Politics • theguardian.com
US Army commander used drones, C4-packed robots to clear breach

A recent drill saw dozens of drones targeting enemy weapons, sensors, and positions before soldiers attempted to approach.

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Jun 27 • 7:57 AM EDT • Business • businessinsider.com
Marseille look to retain three players

Get French Football News understands that every player at Olympique de Marseille – bar none – is available for the right price this summer. The club overspent under Roberto De Zerbi and the purse...

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Jun 27 • 6:55 AM EDT • Sports • sports.yahoo.com
The Best Diet For Brain Health Is Probably Not What You Think

There was one clear, standout winner.

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Jun 27 • 4:00 AM EDT • Health • sciencealert.com
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Just 2 Hours of Strength Training May Lower Heart Disease Risk in Women

Researchers say that just 2 hours of weekly strength training may help lower the risk of cardiovascular disease in women, especially when paired with 150 minutes of weekly aerobic exercise.

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Jun 27 • 3:36 AM EDT • Health • healthline.com
Dave Roberts Gives Update on Rushing’s Future Catching Ohtani

Dodgers manager Dave Roberts elaborated on what the plan is for catcher Dalton Rushing after his rough night with Shohei Ohtani pitching.

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Jun 27 • 12:47 AM EDT • Sports • sports.yahoo.com
Audio: RFK Jr. urges Libertarian candidate to drop out race to help GOP keep House

OutFront obtains audio of US Health and Human Services Secretary Robert F. Kennedy Jr. urging a Libertarian congressional candidate in Iowa to drop out of the race to improve Republicans’ chances of winning - and keep control of the House. Rick Stewart, who had no prior relationship with RFK Jr., tells Erin Burnett it’s “ludicrous” a Trump cabinet official would make such an offer.

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Jun 26 • 8:00 PM EDT • Politics • cnn.com
CAKE, Smokey Robinson headline annual Memorial Park concert in Omaha on Friday

Crowds began filling the park earlier in the day, with some attendees arriving at dawn to secure their preferred spots.

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Jun 26 • 7:25 PM EDT • Entertainment • wowt.com
Burglars steal from Grand Forks business, cancer fundraiser

The owner of An Elegant Affair says burglars stole merchandise, cash and donations collected for an employee battling cancer.

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Jun 26 • 7:09 PM EDT • Business • inforum.com
Hightower president leaving after less than three months

Roberto Stewart, who was named president in April, had been tapped to lead the improvement of the firm's technology platform.

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Jun 26 • 5:51 PM EDT • Business • chicagobusiness.com
Falcons Roundtable: Kyle Pitts Extension Done, Is Bijan Robinson Next?

The Falcons continue to lock up the core of their roster for the future. This week's Falcons Roundtable breaks down Kyle Pitts' new extension, whether his deal or Drake London's is the better value, and why Bijan Robinson appears to be the next superstar in line for a record-setting contract.

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Jun 26 • 5:50 PM EDT • Sports • sports.yahoo.com
‘We don’t see anything that was a problem.’ GOP candidate Steve Hilton reacts to Trump’s claims of election fraud in CA
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Jun 26 • 5:49 PM EDT • Politics • cnn.com
Roy Cooper brings 'Make Stuff Cost Less' tour to Asheville, targets health costs, tariffs

Former North Carolina Governor and U.S. Senate candidate Roy Cooper brought his "Make Stuff Cost Less" tour to Asheville on Friday.

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Jun 26 • 3:46 PM EDT • Health • wlos.com
New Nancy Guthrie demand letter claims to have video from her 'last' day: Report

A new demand letter about Nancy Guthrie reportedly claims to have video of the 84-year-old and her kidnapper on 'the day that was probably her last.'

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Jun 26 • 2:15 PM EDT • Entertainment • ew.com
Epic's Tim Sweeney Keeps Inventing Solutions To Problems That Are Already Solved

Quick, someone tell him what Discord is

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Jun 26 • 1:00 PM EDT • Technology • kotaku.com
Biggest offseason question for every East team: Will Knicks duck second apron? What's next for Celtics, Heat?

Can New York keep its championship roster together? What will Boston do with Jaylen Brown?

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Jun 26 • 12:22 PM EDT • Sports • cbssports.com
After 80 Years, Mathematicians Give Famed ‘Erdős Method’ an Upgrade

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his technique even more powerful.

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Jun 26 • 11:26 AM EDT • Technology • quantamagazine.org
Master Inventor Hoffman Turns Chemistry Into Capability | Johns Hopkins University Applied Physics Laboratory

Christopher Hoffman has been recognized as a Johns Hopkins APL Master Inventor, a distinction earned through a career spent asking a simple question: What can chemistry can do to solve a real-world problem?

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Jun 26 • 11:02 AM EDT • Science • jhuapl.edu
How to Keep Your Skin Healthy and Hydrated in Summer Months

From sunburns to heat rashes, board-certified Dr. Angela Lamb joins TODAY with solutions for common summer skin problems.

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Jun 26 • 9:31 AM EDT • Health • today.com
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Scientists stunned by signs of ancient life in a place no one expected

Scientists exploring ancient seafloor rocks in Morocco discovered mysterious wrinkle patterns where they were never expected to occur. These structures are normally linked to microbial mats in shallow, sunlit waters, yet the rocks formed hundreds of feet below the surface in darkness. Evidence indicates that chemosynthetic microbes created the wrinkles, revealing that deep-ocean microbial ecosystems may have been more widespread than previously thought.

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Jun 26 • 8:00 AM EDT • Science • sciencedaily.com
ISS repair spacewalk highlights concerns about station health

NASA astronauts on the space station are preparing for a spacewalk to repair a robotic arm as safety advisers raise concerns about its long-term health.

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Jun 26 • 7:57 AM EDT • Health • spacenews.com
Karl Stefanovic Speaks Out on Nine Exit After Tommy Robinson Scandal

The 'Today' host declares himself 'free' in a YouTube statement after Nine ends his contract following a deleted Tommy Robinson podcast episode.

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Jun 26 • 6:44 AM EDT • Entertainment • variety.com
Robot startup FieldAI achieves $100M milestone in revenue, contracts

FieldAI says it has crossed $100 million in revenue and contracts by building software for robots to work in mines, construction sites, and factories.

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Jun 26 • 6:00 AM EDT • Business • businessinsider.com
Real Madrid’s summer spending spree creates unexpected Champions League problem

Real Madrid have been one of the busiest clubs in the transfer market, but their impressive recruitment spree may have created a technical issue.Notably, Jose Mourinho has already welcomed four new si...

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Jun 26 • 3:40 AM EDT • Sports • sports.yahoo.com
The Padres have problems behind the plate

Freddie Fermin’s concussion and struggles at the plate may force the Friars to seek to acquire another catcher.

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Jun 26 • 1:28 AM EDT • Sports • sports.yahoo.com
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County Invites Youth, Camps To Register For ‘Mind Your Business’ July 7 - Town-Crier Newspaper

Palm Beach County’s Mind Your Business Youth Entrepreneurship Forum returns on July 7, offering a full day of hands-on learning and innovation for young people across the county. Now in its seventh year, the forum is designed to inspire the next generation of creators, problem-solvers and emerging business leaders. Open to youth ages 10 to […]

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Jun 26 • 12:01 AM EDT • Business • gotowncrier.com
‘Turf Tank’ robot elevates Oregon sports fields

The Oregon Youth Soccer Association is taking advantage of some new technology to keep its fields game day ready.

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Jun 25 • 9:41 PM EDT • Sports • kptv.com
This Is Probably Your Last Chance to Buy a Cheap MacBook for a While

Apple has dramatically jacked up the price of MacBooks, making the current Prime Day pricing that much more enticing.

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Jun 25 • 8:07 PM EDT • Technology • wired.com
Evaluating the robustness and readiness of large frontier models in health AI applications

Nature Medicine - Adversarial evaluation of leading AI models uncovers gaps between benchmark success and robustness, highlighting limitations in current health AI benchmarks and their ability to...

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Jun 25 • 8:00 PM EDT • Health • nature.com
Senators demand probe into reports of secret Trump-Emrati crypto deal: ‘let them say it under oath’
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Jun 25 • 7:49 PM EDT • Politics • cnn.com
Caitlin Clark made the WNBA bigger. It’s still playing small

The league’s paltry one-game suspension of Alyssa Thomas after her fist to Caitlin Clark's throat barely begins to address the problem.

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Jun 25 • 6:58 PM EDT • Sports • usatoday.com
Serious statin side effects on muscles are extremely rare, new research confirms

Scientists created a new tool to help doctors predict a patient’s risk of severe muscle problems from taking a statin.

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Jun 25 • 6:30 PM EDT • Health • nbcnews.com
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Injury-hit Warrington dig deep to beat Catalans

Warrington overcome injury problems to move level on points with Leeds at the top of Super League with a gutsy win over Catalans.

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Jun 25 • 5:14 PM EDT • Sports • sports.yahoo.com
Making Our Own Luck

We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.

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Jun 25 • 4:48 PM EDT • Science • goodscience.substack.com
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Robot dentist prepares tooth for a crown

The tiny robo-dentist will see you now.

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Jun 25 • 4:00 PM EDT • Science • popsci.com
Three RWJBarnabas Health Hospitals Recognized Among Newsweek's Best Hospitals for Specialized Care for 2026

Robert Wood Johnson University Hospital (RWJUH), Cooperman Barnabas Medical Center (CBMC) and Robert Wood Johnson University Hospital Somerset (RWJUH Somerset), all RWJBarnabas Health facilities, have been recognized among Newsweek's America’s Best Hospitals for Specialized Care 2026.

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Jun 25 • 3:40 PM EDT • Health • rwjbh.org
Dave Roberts Gives Blunt Assessment on Dalton Rushing Controversy

Dodgers catcher Dalton Rushing had a rough game on Wednesday, June 24th, behind the dish, getting into a disagreement with Shohei Ohtani.

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Jun 25 • 2:32 PM EDT • Sports • sports.yahoo.com
UT Health San Antonio identifies the first potential probiotic treatment for lupus

Contact: Steven Lee, (210) 450-3823, lees22@uthscsa.edu Content provided by Claire Kowalick SAN ANTONIO, June 25, 2026 – Scientists at UT Health San Antonio, the academic health center of The University of Texas at San Antonio, found a link between a bacterium in the gut microbiome, or ecosystem, and lupus, which could lead to more effective […]

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Jun 25 • 2:14 PM EDT • Health • news.uthscsa.edu
Senator Ron Wyden accuses US health agency of plan to deport more than 500 migrant children

Wyden says in a letter addressed to Robert F Kennedy Jr that HHS is preparing an ‘unprecedented legal framework’

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Jun 25 • 1:38 PM EDT • Health • theguardian.com
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'Unflappable' Justin Wrobleski Becoming 'The Shark' In Dodgers' Rotation

Justin Wrobleski created his own model to chart his development. Here's how it's taken him from fringe starter to potential All-Star.

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Jun 25 • 10:55 AM EDT • Sports • foxsports.com
How should European scientists respond to the US AI kill switch?

Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.

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