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Malaria remains one of humanity’s most stubborn infectious diseases, claiming more than 600,000 lives in 2024, with the vast majority of deaths caused by a single parasite: Plasmodium falciparum. Despite decades of research, roughly half of the more than 5,000 genes encoded in the parasite’s genome still lack any functional annotation, and resistance to front-line […]

Researchers have developed 3D "mini-brains" they hope will help speed up the search for much-needed drug treatments for multiple sclerosis (MS), an autoimmune condition affecting almost 3 million people worldwide. Their research has been published in the journal Nature Neuroscience.

Intrinsically disordered proteins have resisted structure-based drug discovery because they lack a stable fold to model. Talus Bio's structure-free AI model sidesteps that limitation, targeting these proteins in their native environment instead of in isolation or from a predicted structure. The post Talus Bio’s Structure-Free AI Model Targets Unstructured Proteins in Their Native Cellular Context appeared first on GEN - Genetic Engineering and Biotechnology News.

Extreme dry mouth, caused by radiation used to treat cancer and by autoimmune diseases such as Sjögren's disease, radically affects quality of life for sufferers. It can hamper speaking, swallowing and eating, and for years has seemed an intractable problem.

Longevity is taking off, but regulatory oversight is essential to determining what works—and what doesn’t

HomeScienceVol. 394, No. 6819Epistemic justice in gene-editing researchBack To Vol. 394, No. 6819 Full accessLetter Share on Epistemic justice in gene-editing researchDong Dong, Yiou Wang, and Tao MaAuthors Info & AffiliationsScience1 Oct 2026Vol 394, Issue 6819p. 38 PREVIOUS ARTICLEWalden and the wild roots of conservation sciencePreviousNEXT ARTICLERecording results from single-patient trialsNe…

In the News Feature “A fatal reaction” (23 July, 10.1126/science. aek8000), B. Borrell reports that a 6-year-old girl died after the world’s first-in-human brain base-editing trial in China. This case highlights a governance paradox: A regulatory system with detailed ethical rules failed to prevent a fatal outcome. Institutional fragmentation may be at fault. As countries expand access to highly individualized gene-editing therapies, they must also strengthen continuous, cross-institutional oversight.

The recent gene-editing trial led by Zilong Qiu and colleagues in Shanghai (“A fatal reaction,” B. Borrell, News Feature, 23 July, 10.1126/science.aek8000) was not only a case of failed oversight; it also illustrates a recurring moral danger in biomedical research. Such trials can be driven by two mutually reinforcing motivations: the pursuit of professional recognition and a crude utilitarian rationale that risky experiments are justified because, if successful, they may benefit large numbers of present and future patients. This second motivation, which is especially powerful in biomedicine, can cloak self-interest in moral language and encourage researchers to discount evidence of danger to the individuals enrolled as subjects. Gene-editing interventions, in particular, may appear morally elevated because their promised benefits aim to enhance general welfare for all, including future generations, regardless of nationality or group identity. For this reason, the appeal to future

The effects of calorie restriction and even larger effects of growth hormone receptor knockout on the lifespan of mice have proven to be hard to beat. In large part, this is because (a) aging is the result of a number of very different causes, (b) producing comprehensive rejuvenation will require a number of very different therapies applied in combination, and (c) next to no-one is assessing the results of combination therapies targeting the root causes of aging. One of the other consequences of aging having multiple distinct (but interacting) causes is that it is in principle possible to make good progress on treating a cause of aging without producing an appreciable gain in healthspan or lifespan, or without reversing a given class of age-related disease, […]

Video has never been easier to fake. Consumer editing suites can duplicate a frame, splice in footage from another clip, or use inpainting algorithms to erase a person from a scene entirely, and the compression pipelines of social media platforms then wash away many of the subtle artifacts that forensic investigators traditionally relied upon. A […]

Many U.S. states have passed laws prohibiting disability-based discrimination, but patients with intellectual and developmental disabilities continue to face disparities in access to kidney transplants, according to study data.The first law protecting organ transplant recipients from disability-based discrimination was passed in 1996 under a revision to California’s Uniform Anatomical Gifts Act, according to study background. Thirty-nine states have followed with their own antidiscrimination legislation between 2013 and 2023, with two primary provisions established. The first provision

Mayo Clinic AI model flagged pancreatic cancer risk up to three years early using health records. The research is preliminary and not yet in use.

At a Washington health summit, Robert F. Kennedy Jr argued that AI could offer better-informed medical opinions, but the article examines the technology's limits and political risks.

Peripheral artery disease is associated with an increased risk for death in the first year after kidney transplant among patients aged 65 years or older, a French study finds.

BK virus-associated nephropathy, a potentially devastating complication of kidney transplantation, has long been recognized as a disorder of immune balance: the immunosuppressive drugs that protect a transplanted kidney from rejection also blunt the antiviral defenses that normally keep this ubiquitous polyomavirus in check. A new study published in Virology Journal by Shuang Fei, Bowen Wang, […]

Four-year AMT-130 data show a lasting daily function signal, but the main Huntington's score lost significance. What families should know.

When a child or adult accidentally swallows a corrosive household chemical, the consequences can be devastating. The caustic substance strips away the lining of the esophagus, triggering a cascade of inflammation, tissue death, and ultimately scarring that narrows the swallowing tube into a rigid, dysfunctional channel. According to pooled clinical data cited by the researchers, […]

One of the largest real-world comparisons of surgical technology ever conducted has found that robotic-assisted hip and knee replacement surgery offers no clear benefit over conventional operations when it comes to the outcomes that matter most to patients and health systems. The findings, published in The BMJ by researchers analysing more than 1.3 million joint […]

For patients with peritoneal metastases—cancer that has spread to the lining of the abdominal cavity—one number can shape the entire course of treatment. That number is the peritoneal cancer index, or PCI, a score that surgeons calculate by dividing the abdomen into thirteen regions and grading the largest tumor deposit in each one. The problem […]

A routine tissue biopsy can now reveal far more than what a pathologist sees under the microscope. A team of researchers in China has developed an artificial intelligence system, called RIDGE, that predicts molecular biomarkers of cancer directly from ordinary hematoxylin and eosin stained pathology slides, the same glass slides prepared in every hospital laboratory […]

Induced pluripotent stem cells have become one of the most powerful tools in modern biomedical research, offering scientists a way to rewind adult cells back into an embryonic-like state and then grow them into almost any tissue in the body. Yet the reprogramming process itself carries a hidden risk: it can introduce large-scale rearrangements of […]

Hearing tests produce some of medicine’s most deceptively simple images. An audiogram is a grid of symbols marking the faintest sounds a patient can detect at each frequency, in each ear, with and without masking noise. A tympanogram traces how the eardrum moves under changing pressure. Interpreting these charts requires more than reading numbers: it […]

Insulin resistance sits at the root of some of the most burdensome diseases of modern life, including type 2 diabetes, non-alcoholic fatty liver disease, obesity, and metabolic syndrome. When skeletal muscle, adipose tissue, and the liver stop responding properly to circulating insulin, glucose uptake falters, lipid metabolism goes awry, and the pancreas compensates by pumping […]

Fossil fuels still supply roughly 80 percent of the world’s energy, and the consequences of that dependence are now impossible to ignore. Combustion of coal, oil and gas releases greenhouse gases, above all carbon dioxide, that accelerate global warming, drive sea-level rise and destabilize ecosystems on which human health depends. Meanwhile, demand keeps climbing: global […]

Genomic editing holds great potential to treat or cure disease, but the technology continues to have its limitations.

arXiv:2609.38794v1 Announce Type: cross Abstract: Emotion prosody perception requires simultaneous processing of acoustic cues and speaker identity. While listeners effortlessly decode natural speech, AI synthetic voices introduce cognitive complexities due to subtle acoustic atypicalities. It remains unclear how these synthetic features interact with a listener's prior social knowledge and memory of a familiar speaker. This study investigated how speech sources (human vs. AI) and speaker familiarity affect emotion recognition accuracy and cognitive load. A within-subject task with Mandarin-speaking adults evaluated behavioral (accuracy, reaction time) and physiological data (heart rate variability). Results showed that human voices yielded significantly higher accuracy and faster processing times than AI voices, while HRV did not significantly differentiate between conditions. These findings show that decoding synthetic speech is gated by top-down social cognition, highlighting

arXiv:2609.38658v1 Announce Type: cross Abstract: TTS systems with autoregressive semantic modeling have demonstrated strong zero-shot voice cloning performance and rich expressive variation, but their sequential decoding incurs substantial latency. Non-autoregressive alternatives offer much faster generation, yet often rely on more restrictive reference conditioning, such as requiring transcripts of the reference speech during inference. We present Tacit-TTS, an efficient transcript-free zero-shot voice cloning system distilled from IndexTTS2. Our model replaces autoregressive text-to-semantic decoding with masked non-autoregressive generation, introduces training-free acoustic length estimation, and accelerates the flow-matching renderer through ReFlow distillation. Across two English and two Mandarin datasets, Tacit-TTS achieves competitive zero-shot quality while generating speech over 10x faster than IndexTTS2 for utterances longer than 5 seconds. Its transcript-free conditioning

arXiv:2609.39808v1 Announce Type: new Abstract: Animal models are widely used to study human biology and health interventions, yet translating findings from animal studies to humans remains challenging. Evidence across preclinical and clinical research informs experimental and translational decisions. Artificial Intelligence (AI) tools are increasingly reshaping how this evidence is searched, synthesized, and used, but it remains unclear how they should support the diverse stakeholders involved in assessing animal-to-human evidence. We conducted semi-structured interviews with 13 stakeholders to examine their evidence practices, challenges, and expectations for AI support. We found that stakeholders approach the same incomplete evidence base with different goals, expertise, and heuristics. Participants valued AI particularly for locating, screening, and extracting evidence, but were more cautious about automated interpretation and quality judgments. They emphasized transparency,

arXiv:2609.39513v1 Announce Type: new Abstract: Despite being an emerging credible means of using artificial intelligence (AI) for improving disease surveillance via early detection of outbreaks, epidemics prediction and evidence-based decision-making, there continue to be challenges in the use of AI tools in many low- and middle-income countries (LMICs) due to various factors including fragmented health information system, digital inequality, governance problems and institutional incapability. Most of the research conducted so far has concentrated on the efficacy and accuracy of AI in terms of predicting outbreaks, with little focus on other conditions necessary for its deployment. This study adopts a qualitative problem-discovery research design, integrating thematic analysis with philosophical analysis to examine the structural and normative barriers surrounding AI implementation in disease surveillance. The analysis identifies four interrelated dimensions of implementation

arXiv:2609.39429v1 Announce Type: new Abstract: Uncertainty Quantification (UQ) is a key requirement for trustworthy AI in high-stakes medical image analysis. In this work, we evaluate UQ in a multi-task Deep Learning framework for MRI-based glioma diagnosis that performs tumor segmentation and predicts IDH mutation status, 1p/19q co-deletion status, and tumor grade. Monte Carlo Dropout (MCD) is used for a detailed task-aware analysis of predictive, aleatoric, and epistemic uncertainty. We assess MC sample convergence, calibration, error detection, selective prediction, associations with segmentation performance, and the effect of voxel-wise uncertainty aggregation on case-level reliability. We also compare MCD with Deep Ensembles (DE) and Monte Carlo Deep Ensembles (MCDE), examine interactions between segmentation quality and classification, and evaluate a composite trust score integrating segmentation and classification uncertainty. Across tasks, uncertainty estimates supported

arXiv:2609.38472v1 Announce Type: new Abstract: Behavior cloning provides an offline route to autonomous-driving policy learning, but mean-squared-error regression is poorly matched to demonstrations in which one observation admits several valid actions. Diffusion policies can represent conditional multimodal action distributions, yet their closed-loop performance may be unstable when visual features and control are learned from limited data. This paper presents Diffusion-2BC, which combines a diffusion denoising objective with an auxiliary deterministic behavior-cloning loss over a shared visual encoder. The auxiliary branch is used only during training; inference remains diffusion-based. The proposed method is evaluated in the controlled Claw environment and in bird's-eye-view CARLA navigation, including route-conditioned driving, route-free navigation through multiple intersections, and cross-map evaluation from Town01 to Town02. In the Claw task, Diffusion-2BC reduced the mean

arXiv:2609.38401v1 Announce Type: new Abstract: Training data variation, whether through designing a domain randomization (DR) scheme in simulation or curating demonstrations for imitation learning, is a primary lever for improving the robustness of robotic manipulation policies. Yet its underlying mechanisms remain poorly understood, and practitioners typically select randomization parameters through expensive trial and error. We investigate these mechanisms through a series of case studies, randomizing object size, color, and type as well as scene lighting and linguistic prompts across settings including pick-and-place RL in ManiSkill and fine-tuning of vision-language-action (VLA) models on LIBERO and RoboTwin. We examine both model behavior and internal representations, using the empirical neural tangent kernel (NTK) as our primary diagnostic tool. We show that the NTK distinguishes a shift in the internal learning mechanism from \textit{memorizing} different situations with

Scientists have unveiled a new artificial intelligence–derived blood test that distills the molecular noise of cellular aging into a single number, one that appears to forecast who will die, who will fall ill, and how quickly the body accumulates the senescent cells that many researchers now consider a driving force behind growing old. The biomarker, […]

Aging has long been framed as an unavoidable slide toward cellular decay, but a comprehensive new review published in GeroScience argues that one of its most damaging drivers—mitochondrial oxidative stress—may be a target we can actually hit. The review, led by Siyun Kim and Oh Sung Kwon of the University of Connecticut together with colleagues […]

In the Phase 3 NRG-GI003 trial, proton therapy did not extend survival over standard radiation in advanced liver cancer. Here is what patients should ask.

Clues to Why a Breakthrough Pancreatic Cancer Drug Eventually Stops Working  The New York TimesHow a Mass. researcher's lab made a breakthrough in pancreatic cancer treatment  WBURThis Pill Will Change Cancer Treatment Forever  GizmodoFlorida man says new pancreatic cancer drug has provided miracle results  WKMGAIM ImmunoTech Discusses Ampligen®’s Potential to Complement Emerging Pancreatic Cancer Therapies in New CEO Corner Video  markets.businessinsider.com

Clues to Why a Breakthrough Pancreatic Cancer Drug Eventually Stops Working  The New York TimesHow a Mass. researcher's lab made a breakthrough in pancreatic cancer treatment  WBURThis Pill Will Change Cancer Treatment Forever  GizmodoFlorida man says new pancreatic cancer drug has provided miracle results  WKMGAIM ImmunoTech Discusses Ampligen®’s Potential to Complement Emerging Pancreatic Cancer Therapies in New CEO Corner Video  markets.businessinsider.com

Every year, wind and other abiotic forces cause herbaceous crop stems to buckle and snap, a phenomenon known as lodging that significantly reduces yields and poses a major challenge to global food security. The structural failure of a stem is not simply a matter of how tall a plant grows or how thick its stalk […]

Severe aplastic anemia is one of the most unforgiving diagnoses in hematology. The bone marrow, the factory that manufactures red blood cells, white blood cells, and platelets, simply stops working, leaving patients vulnerable to profound anemia, life-threatening infections, and spontaneous bleeding. For decades, the standard first-line treatment for patients over the age of forty has […]

Peripheral nerve injuries are among the most stubborn problems in modern medicine. When a nerve is cut, the body launches a slow, energy-intensive repair program that can take months to complete, and in many cases function never fully returns. Now, a team of researchers at the University of Messina in Italy reports that an experimental […]

Two major studies by Queen Mary University of London, the University of Oxford and the University of Bristol found that robotic-assisted hip and knee replacement does not reduce the overall early risk of repeat surgery compared with conventional surgery.

Learn how gene editing keeps sliced bananas yellow longer, and what England’s approval means for bringing the fruit to shoppers.

AI is far from a perfect resource. But it seems to hallucinate less than Kennedy.

For decades, doctors have treated T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma as two faces of the same disease. Both arise from immature T cells, the immune system’s in-training soldiers, and both are driven by the uncontrolled proliferation of lymphoblasts. The conventional distinction was largely anatomical: when the malignant cells crowd the bone marrow […]

A Tokyo court ruled on Wednesday that Japanese law protects the human voice. Anime voice actor Kenjiro Tsuda had sued TikTok over videos he says used an AI clone of his voice. He won in part, as the court turned down his request to remove the videos, Agence France-Presse reported. AFP believes the lawsuit is […] This story continues at The Next Web

One of the major challenges in the treatment of the most common subtype of breast cancer (hormone receptor positive, HR+) is the emergence of resistance.

Soybean is one of the world’s most important crops, a cornerstone of plant protein and vegetable oil production, and a crop that European agriculture would dearly love to grow more of. Yet despite decades of breeding effort, the soybean’s cultivation footprint in Europe remains far smaller than its agronomic potential. The reason lies in the […]

For decades, physicians have prescribed aerobic exercise as one of the few reliable ways to protect aging joints, yet the molecular courier service that carries the benefits of a treadmill session from the bloodstream to the cartilage lining our knees has remained largely invisible. A new study published in Nature Aging by Hirotaka Iijima, Fabrisia […]

OpenAI's "Decisions API" is a Jev clone that confirms the importance of fast, cheap intelligence.

InvestorPlace - Stock Market News, Stock Advice & Trading Tips Let’s consider some of the recent incredible leaps that AI has made, particularly in healthcare. The past few months of AI development have revolutionized that industry… and barely anyone has noticed. The post The AI Breakthroughs – and Opportunity – Hiding in Your Doctor’s Office appeared first on InvestorPlace.

Large language models have already rewritten the rules of how we search, write, and code. Now, according to a sweeping systematic review published in Artificial Intelligence Review, they are being retooled for something far more intimate: understanding your health, your habits, and your unique circumstances well enough to nudge you toward a better life. A […]

CRISPR-Cas13 has rapidly become one of the most versatile tools in plant biotechnology, offering researchers the ability to target RNA molecules directly rather than editing the genome itself. Because Cas13 cleaves RNA rather than DNA, it promises flexible, reversible control of gene expression and a powerful new line of defense against plant RNA viruses. But […]

Chimeric antigen receptor T-cell therapy, better known as CAR-T, has been one of the most celebrated breakthroughs in modern cancer medicine. By genetically reprogramming a patient’s own immune cells to hunt and destroy malignant B cells, the therapy has reshaped the outlook for people with diffuse large B-cell lymphoma, an aggressive cancer of the lymphatic […]

Researchers have pinpointed several of the genes that make brain regeneration possible in one type of flatworm.

Predicting how a patient’s tumor will respond to a particular drug remains one of the most stubborn problems in precision oncology. Two patients can carry the same driver mutation, receive the same targeted therapy, and experience dramatically different outcomes, a phenomenon rooted in the genomic and transcriptomic heterogeneity that defines cancer at the single-tumor and […]

Researchers are asking why patients, like former Senator Ben Sasse, inevitably develop resistance to the drug daraxonrasib.

Researchers are asking why patients, like former Senator Ben Sasse, inevitably develop resistance to the drug daraxonrasib.

Researchers with Sylvester Comprehensive Cancer Center, part of the University of Miami Miller School of Medicine, have created a framework for developing, evaluating and implementing AI tools in cancer survivorship and supportive care, according to a new proof-of-concept study published in the journal Translational Behavioral Medicine.

Rice feeds more than half of humanity, yet its harvests are under constant siege from fungal pathogens that destroy crops ranging from seedling fields to ripening panicles. In a study published in Nature Plants, a team led by Jian-Feng Li at Sun Yat-sen University, working with collaborators at the China National Rice Research Institute and […]

Epic’s engineers deployed an Anthropic tool that exposed security risks that could allow undetected access to millions of patient records.

Health Secretary Robert F. Kennedy Jr said Sam Altman told him doctors could commit malpractice by failing to check AI, though the claim has not been confirmed by Altman directly.

A hospital in Japan has carried out the world's first surgery using sheets of commercially available heart muscle stem cells after the groundbreaking therapy was approved this year, one of the surgeons said.

The practice of editing the genes of embryos remains highly controversial and risky, but Origin Genomics founder Cathy Tie argues its a “moral imperative” to address hereditary diseases.

Young adults who use generative artificial intelligence to ask health-related questions are more likely to screen positive for clinically significant anxiety and depression than those not using the AI tool for health issues, according to a new study led by University of Florida researcher Yusen Zhai.

Agriculture Secretary Brooke Rollins is increasing funding for a regenerative agriculture pilot program to $1 billion, she said at the second annual Make America Healthy Again Summit.

INTEGRA's automated solutions optimize CRISPR workflows, enhancing gene editing efficiency and accelerating the path to innovative therapeutic developments.

Targeted gene therapies are highly effective at stopping cancers, but the very abundance of the treatments, plus cost and sluggish change, are hindering access.

Targeted gene therapies are highly effective at stopping cancers, but the very abundance of the treatments, plus cost and sluggish change, are hindering access.

arXiv:2609.35986v1 Announce Type: cross Abstract: We determine asymptotic global fidelities of cloning generic mixed states with simple (non-degenerate) full-rank spectra. In fixed dimension $d$, let $n$ inputs and $m_n$ outputs satisfy $m_n/n\to\gamma>1$. For a known simple full-rank spectrum $p_1>\cdots>p_d>0$, we prove that the optimal root fidelity between the entire output and the product target state is $$ F_\rm{orb}(\gamma,p) =\prod_{i

arXiv:2609.37576v1 Announce Type: new Abstract: With the rapid advancement of text-to-image (T2I) generation, robust evaluation becomes critical yet challenging, as traditional metrics fail to capture fine-grained alignment and generative artifacts. While large multimodal models (LMMs) are increasingly adopted as evaluators, existing benchmarks typically study semantic understanding, quality perception, and authenticity identification in isolation, while largely neglecting responsibility detection. This leaves a gap in unified and comprehensive validation. To bridge this gap, we introduce SQUARE-Bench, a comprehensive benchmark that systematically evaluates LMM capabilities as evaluators of AI-generated images across four aspects: Semantics, Quality, Authenticity, and Responsibility. SQUARE-Bench introduces a granular taxonomy of 38 sub-dimensions to evaluate nearly 10K AI-generated images sampled from 22 diverse models, ranging from legacy to state-of-the-art generators, complemented

arXiv:2609.37501v1 Announce Type: new Abstract: We propose RegLLM, a diagnostic harness for bounded autonomy in regulated agentic workflows. It instruments six trustworthiness signals: citation validity, source grounding, schema compliance, escalation correctness, constitutional alignment, and unsafe-action rate. Signals are distinguished by their source of supervision: programmatic verifiers, task-level escalation labels, or AI-judge scores. A deterministic runtime supervisor blocks ungrounded answers and forces escalation, logging interventions. The same domain constitution informs evaluation, training rewards, and serving guardrails. Task-level should-escalate labels make the act-versus-defer decision a measurable training signal. We demonstrate the harness at smoke scale. An offline reference run (n=12) lifts escalation recall from 0 to 0.67 and reduces unsafe-action rate from 0.33 to 0.08 when governance is enabled. Two single-GPU Qwen2.5-3B LoRA/DPO pilots (n=8, same seed and

arXiv:2609.37028v1 Announce Type: new Abstract: Zero-shot text-to-speech synthesizes new utterances in a speaker's voice from a short reference recording. Voice cloning requires accurate content and preserved speaker identity, but supervised acoustic-token prediction does not directly optimize these waveform-level properties. Reward-based post-training addresses this mismatch, but in discrete diffusion, token choices and reveal positions jointly define the sampling trajectory, complicating alignment. We introduce RAWD-TTS (Ratio-free Advantage-Weighted Denoising), which scores decoded samples with recognition and speaker rewards and uses group-relative advantages to weight masked-token reconstruction of those samples, without reverse-trajectory likelihoods or target audio. On 500 Russian CV3-Eval voice-cloning prompts, joint alignment reduces word error rate from 3.18% to 2.42% at the reward-selected checkpoint (24.0% relative) and to 2.58% at the final checkpoint (19.0%), while WavLM

arXiv:2609.36617v1 Announce Type: new Abstract: We study the ability of LLMs to generate edit-inducing questions whose answer will improve a paper draft. On a dataset of paired submission and camera-ready papers from ICLR and NeurIPS, we compare the helpfulness of questions from GPT models with or without full paper context to that of human reviewers. GPT produces more edit-inducing questions and its questions are associated with more extensive edits and cover a broader range of edited content compared to questions from reviewers. However, a much smaller percentage of the GPT questions are edit-inducing. Our analyses confirm that automated questions can be beneficial to authors and highlight an example task where proper attending to long context deteriorates reasoning model ability to produce helpful output.

arXiv:2609.36478v1 Announce Type: new Abstract: The tragedy of the commons poses a multi-agent safety problem: reward-seeking agents can deplete a shared resource, and cooperation among its users does not itself specify how much must be preserved. We make preservation an explicit requirement by formulating a regenerative commons as a constrained Markov game or a constrained multi-agent MDP with a designer-specified depletion budget. We develop a nonstationary Lagrangian framework that constructs a policy sequence from solutions of unconstrained games or cooperative control problems. Extending earlier time-average constructions, we introduce average-epoch solution concepts for reset episodes with discounted rewards and terminal costs. We prove a reward-independent feasibility certificate, cooperative feasibility and approximate optimality against feasible policy mixtures, and an extension to unbiased sampled costs. For self-interested agents, a constrained Nash certificate quantifies

Sheryl Gay Stolberg / New York Times: US Health Secretary RFK Jr. says AI can offer “a second opinion that is much better informed than any doctor in the country” and “free us from medical tyranny”  —  The health secretary, Vice President JD Vance and other top officials addressed a conference sponsored by corporations …

Early complications are common in older kidney transplant recipients, according to a study published in the October issue of Transplantation Direct.

Conventional AI models in medicine are usually trained for a single, narrowly defined task, such as detecting a specific cardiac arrhythmia. So-called foundation models take a different approach: Much like a language model such as ChatGPT develops a comprehensive understanding of text, an ECG foundation model learns to "understand" the heart signal in all its diversity. It can then apply that knowledge to many medical questions—including those for which only limited specific training data is available. This is a decisive advantage, especially in medicine.

Beam Therapeutics, a Cambridge, MA, company developing CRISPR base editing therapies, has sued two Chinese scientists and two biotech companies where they work for allegedly stealing Beam’s trade secrets and copying its technology. The

President Donald Trump launched America.gov, an AI-powered site that consolidates federal services from passport applications to Medicare enrollment in one place.

Combining HRT with exercise produces the largest improvement in insulin sensitivity in postmenopausal women, while exercise also improves strength and aerobic capacity.

Dr. Kevin Kemp and his research team at the University of Bristol have converted the high-risk Alzheimer's gene APOE4 into the lower-risk APOE3 gene.

Eating less protein as larvae may limit their ability to produce proteins as adults.

In the PERSEUS trial, 81% of myeloma patients on a daratumumab regimen had no progression at six years. What the results mean for patients.

UniQure's shares {$QURE} were rocked Tuesday morning after the company revealed its experimental Huntington’s disease gene therapy may have less benefit than originally thought. In an additional year of follow-up data, the experimental treatment — known ...

According to new research from King's College London, adults who followed a Mediterranean-style diet rich in vegetables, fruits, whole grains and healthy fats were less likely to report acne, particularly women. In men, diets lower in carbohydrates and higher in animal-based foods were linked to a greater likelihood of acne.

The wealthy and ultra-wealthy are spending more on longevity care than ever before. Should you invest your money into similar therapeutics? Experts weigh in.

Airway stem cell transplantation achieves functional restoration and long-term engraftment in preclinical models, promising new opportunities for patients without gene-targeted options.

Nick Lichtenberg / Fortune: EliseAI, which provides AI tools for health care and housing industries, raised $350M at a $4B valuation, up from $2.2B after raising $250M in August 2025  —  EliseAI, the artificial intelligence company that automates back-office work for landlords and health systems, has raised $350 million …

A trio of former AI scientists and engineers at Roche's Genentech has started a company called Ortet, with visions of changing the healthcare system with AI. Ortet launched Tuesday with a $500 million funding commitment ...

An expert offers guidance on the growing treatment landscape.

arXiv:2609.33994v1 Announce Type: new Abstract: High-bandwidth plasma diagnostics increasingly provide inputs to machine learning and signal-processing algorithms intended for real-time tokamak control, but the complete path from diagnostic sampling to control-system handoff is difficult to commission because of their sampling rates. We develop a packet-level digital hardware twin for the megahertz diagnostic edge-AI architecture. The simulator represents a 64-channel, 1 MHz beam emission spectroscopy (BES) diagnostic embedded in a 96-channel dual-carrier acquisition system, two 48-channel streams with SPAD0 sample counters, 10 GbE Hardware UDP transport, packet loss and network jitter, FPGA parsing and dual-carrier alignment, causal preprocessing and edge inference, a compact Ethernet result packet, receiver-side shared state, and a 1 kHz PCS-like control cycle. Binary UDP payloads and PCAP files are generated rather than emulating transport only at the array level. With a baseline

Scientists have discovered a stem cell that appears to serve as a master source for tendon and ligament cells throughout the body. In lumbar spinal stenosis, these cells become unusually active and may drive the ligament overgrowth that squeezes spinal nerves and causes pain, numbness, and difficulty walking. Researchers found that reducing calcium signaling stopped this abnormal growth in mice.

Old hearts age backwards: transplanted organs adjust to host's biological age  NatureDonor hearts may take on the age of their new bodies  Scientific AmericanYoung organs may not be a fountain of youth for recipients  MIT Technology ReviewTransplanted Hearts Appear to Adjust to the Biological Age of Their New Hosts  slguardian.orgPutin's 'vampire' quest for immortality using organs of the young runs into trouble  AOL.com

Old hearts age backwards: transplanted organs adjust to host's biological age  NatureDonor hearts may take on the age of their new bodies  Scientific AmericanYoung organs may not be a fountain of youth for recipients  MIT Technology ReviewTransplanted Hearts Appear to Adjust to the Biological Age of Their New Hosts  slguardian.orgPutin's 'vampire' quest for immortality using organs of the young runs into trouble  AOL.com