SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " drx " 45 found 🔀 AI-powered Shuffle
Health insurance gaps leave families struggling with costs, survey finds
A new survey from GoodRx finds that even people who have health insurance are increasingly underinsured.
Health insurance gaps leave families struggling with costs, survey finds
A new survey from GoodRx finds that even people who have health insurance are increasingly underinsured.
Utah Democrats have been out of power for 50 years. As the state changes, here’s how they think they can win.
Utah seems poised to send its first Democrat to Congress in six years. Democrats and others say the state is nearing a potential turning point — and that outcry over data centers could be a sign of how to build progressive power in this longtime GOP stronghold.
Rx for Virginians’ health, one grocery bag at a time
The Trump administration’s cuts to SNAP are sending an estimated 130,000 vulnerable Virginians off the food subsidy program. A network of nearly 100 food pharmacies in Virginia is struggling to fill the gap – and provide families with healthy produce and food.
Esports team DRX seeks to broaden territory into digital entertainment
The esports industry continues to expand, drawing large audiences across game titles and appealing to an increasingly diverse range of people. The...
Walbridge weighs relocating its headquarters within downtown
Construction giant Walbridge Group may relocate its downtown headquarters as it mounts a major expansion.
Bosnia votes as pro-Russian politician looms large and ethnic tensions simmer
Around 3.4 million voters are choosing the three members of the country's multi-ethnic presidency, lawmakers for the national Parliament and heads of institutions for the country's two entities.
Amazon, GoodRx target U.S. prescription subscribers as health insurance coverage slips
Amazon.com, GoodRx and other companies offering online subscriptions that charge a flat fee for prescription drugs and other health services are reaping the benefits of Americans looking to combat rising costs and dwindling health insurance options.
‘A definite step forward’: FSU, TMH finalize landmark agreements establishing FSU Health
Florida State University and Tallahassee Memorial HealthCare have finalized a series of agreements establishing the “long-term framework of FSU Health,” according to TMH.
Amazon, GoodRx target US prescription subscribers as health insurance coverage slips
Amazon.com , GoodRx and other companies offering online subscriptions that charge a flat fee for prescription drugs and other health services are reaping the benefits of Americans looking to combat rising costs and dwindling health insurance options.
Can the Left Make America Fun Again?
Hi friends, I’ve got a piece in The New York Times today about how collective joy — participatory, youthful, anti-corporate — can defeat Trumpism and transform our lives. The basic argument is that politics used to be embedded in communal life: dances, sports leagues, union halls. As that infrastructure disappeared — and more of everyday life was atomized and privatized — politics became something broadcast at people rather than something they did together. NYC-DSA and Zohran provide another model, where socials and face-to-face organizing are tied to a fight vs the corporations that fenced off so much of the good life. Rebuilding that kind of collective fun, I argue, could help bring young people back into politics and, by redistributing America’s wealth, make everyday life more joyful. I would super appreciate it if you’d read the piece, share it, or post comments on it. Thank you! p.s. FYI, Opinion writers don’t get any say over their headlines! More Take action to support the fight of licensed deck officers at Alaska Tanker Company and Overseas Shipholding Group to win a first union contract. This is one of the most important, and underreported, unionization campaigns in America: these workers have a huge amount of power over domestic energy distribution and maritime supply chains, and they’re still without a contract two years after having voted overwhelmingly to unionize. Please sign the public petition here, and if you’re an academic you can sign this support letter.
26% of Americans With Health Insurance Have Coverage Gaps, Survey Says
A recent GoodRx survey of a sample of Americans, conducted via YouGov, found that 26 percent of respondents reported at least one coverage gap in their health insurance.
Kathryn Marchak Explores Food as Health as NourishedRx Summer Intern
'I believe that nutrition really does give the body the building blocks that it needs to heal, rebuild, and recover to perform its best'
GoodRx offers health subscription for families, to launch as employee benefit in 2027
GoodRx, a prescription drug savings site, announced on Thursday a family healthcare subscription for access to common medical services and over 250 medications, and it plans to launch the program as part of employer health benefits in 2027.
Health Rounds: Younger lung cancer patients more easily matched to targeted therapies
We also report on an analysis that confirms the importance of taking your blood pressure meds on schedule.
DRX, Nuon Sign Indonesia-Korea Gaming and Entertainment Deal
Korea's DRX and Nuon Digital Indonesia sign a strategic partnership covering live entertainment, game publishing and talent development.
Korea’s DRX Signs Strategic Partnership With Indonesia’s Nuon to Expand Gaming and Entertainment Ties (EXCLUSIVE)
Korea’s DRX Corp. and PT Nuon Digital Indonesia signed a strategic partnership in Jakarta to expand gaming and entertainment ties between Indonesia and Korea, starting with an entertainment festival c...
Trump has long wanted to lose 15 pounds. Physicians wish he would.
Doctors say it’s worrying that the president has, according to his statements and those of aides, gained about 20 pounds since his campaign.
Trump has long wanted to lose 15 pounds. Physicians wish he would.
Doctors say it’s worrying that the president has, according to his statements and those of aides, gained about 20 pounds since his campaign.
DRX Expands Into K-Dramas, Game Publishing With WebsCreative
Esports group DRX moves into K-dramas and game publishing through WebsCreative.
'Silo' Season 3, episode 5 ending explained: Who is Per Stensen?
And what's AI got to do with all this?
Food Bank's Health Partnership Model Draws National Praise
A new national report shows how FARSB's FoodRx program is helping Inland Empire neighbors eat better and stay healthier close to home.
The new kings of the news business are in your inbox
Ryan Broderick has watched digital media companies flame out – beholden to a single source of funding or a fickle algorithm.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
Golden Knights director of entertainment experience cherishing role in Final
Ferraro grew up Hurricanes fan, brains behind elaborate pregame show since Vegas joined NHL
Which 'Love Island USA' couples are still together?
As 'Love Island USA' Season 8 begins, a look back at the contestants who have remained in a relationship.
Washington Nationals vs San Diego Padres Game Thread
Follow along as the Nats head back home for a matchup against the Padres
'Hearts will be back' - fans defiant after title agony
Hearts fans, we asked for your opinions after the devastating 3-1 loss to Celtic that meant the league title stayed in Glasgow for another year. Celtic's title celebrations briefly cover the cracks unveiled by Hearts - that the Old Firm's dominance is over. Finished the game with too many defensive players which meant we couldn't react to going behind.
GoodRx vs. Hims & Hers Health: Stagnation vs. Growth in Revenue
Quarterly filings reveal markedly different revenue trajectories and margin profiles for these two healthcare platforms. What do their latest numbers indicate?
Restrictions on obesity drug coverage force patients to pivot
Twelve million people lost coverage for Zepbound over the last year. The same number of people lost coverage for Wegovy, according to an analysis by GoodRx, a drug discount website.
Floyd Mayweather vs. Manny Pacquiao fight could be in jeopardy
Floyd Mayweather still has plans to spend time in the ring in the coming months, but whether it will be with Manny Pacquiao appears questionable.
Emails reveal unseen maneuvering as Dallas debates City Hall’s future, business strategy
Messages show Economic Development Corp. CEO Linda McMahon pushing for a larger role and clashing with city leaders over corporate recruitment.
Latest iOS 26.4 Beta Adds New Emoji Characters
The fourth iOS 26.4, iPadOS 26.4, and macOS Tahoe 26.4 betas that Apple provided to developers today introduce nine new emoji characters. Trombone Treasure Chest Distorted Face Hairy Creature (aka Bigfoot or Sasquatch) Fight Cloud Orca Landslide There are also new skin tone modifiers people wrestling and dancers with bunny ears, as well as a gender neutral option for the ballet dancer emoji.
FoodRx prescription program launched in Arkansas
A new partnership between Baptist Health and the Arkansas Hunger Relief Alliance is aiming to improve access to healthy food across the state through the newly
Headwinds in GoodRx’s (GDRX) Drug Prescription Business Draw Cautious View from Jefferies
GoodRx Holdings Inc. (NASDAQ:GDRX) is one of the best stocks under $3 to invest in, although one firm had recently become neutral on the stock. On January 22, analysts at Jefferies lowered their rating on GoodRx Holdings Inc. (NASDAQ:GDRX) to Hold from Buy and cut the price target to $2.75 from $5.25. According to Jefferies, […]
Identity politics bites back in Texas Democratic Senate primary
Racial tensions over a podcaster’s allegations jeopardize the party’s chances in Texas.
Taylor Swift, Kenny Loggins, members of Kiss and more get into Songwriters Hall of Fame
Taylor Swift, Kenny Loggins and Kiss founders Gene Simmons and Paul Stanley make up the 2026 Songwriters Hall of Fame inductees.
Why Transparent Business Models and Human-Centered Innovation Are Central to Global Progress at Davos 2026
AffirmedRx’s Chief Information Officer, Laurel Cipriani, brings a unique clinical and technological perspective to this challenge, emphasizing that innovation with responsibility at its core leads to better protection against harm and more equitable access to care. As a scheduled speaker at Davos 20
Trump unveils health care affordability plan
President Trump is unveiling his long-awaited health care proposal. The framework includes many proposals that Trump or Congress have pushed in recent years.
NASA Hubble Helps Detect 'Wake' of Betelgeuse’s Elusive Companion Star
New Hubble and ground-based observations allowed astronomers to track the influence of a recently discovered companion star around Betelgeuse.
Molina Health pops on bullish Michael Burry call, gold rebounds
Yahoo Finance Senior Reporter Brooke DiPalma tracks Tuesday's top moving stocks and biggest market stories in this Market Minute. Gold (GC=F) and silver (SI=F) are rebounding after a downturn on Monday. Molina Healthcare (MOH) stock is surging on Michael Burry's bullish call. Stay up to date on the latest market action, minute-by-minute, with Yahoo Finance's Market Minute.
I’ve been doing this standing exercise for six months and it’s transformed my core strength
Swap sit-ups for this functional move
Prominent Peoria business files for bankruptcy to restructure COVID-related debt
A statement from Peoria Charter owner and CEO James Wang said the company will continue “normal business operations” as it restructures its debt.