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AI has infiltrated the operating room. It’s going about as well as you’d expect.

The FDA has rejected Regenxbio’s gene therapy for a serious inherited disease called Hunter syndrome in a decision that could reverberate to other rare disease drugmakers as well. The complete response letter comes shortly after ...

And people make bad information worse by failing to provide chatbots with the right details Healthcare researchers have found that AI chatbots could put patients at risk by giving shoddy medical advice.…

Next time you're considering consulting Dr. ChatGPT, perhaps think again. Despite now being able to ace most medical licensing exams, artificial intelligence chatbots do not give humans better health advice than they can find using more traditional methods, according to a study published on Monday.

PARIS — Next time you're considering consulting Dr. ChatGPT, perhaps think again. Despite now being able to ace most medical licensing exams, artificial intelligence chatbots do not give humans better health advice than they can find using more traditional methods, according to a study published on Monday. "Despite all the hype, AI just isn't ready to take on the role of the physician," study co-author Rebecca Payne from Oxford University said. "Patients need to be aware that asking a large language model about their symptoms can be dangerous, giving wrong diagnoses and failing to recognise when urgent help is needed," she added in a statement. The British-led team of researchers wanted to find out how successful humans are when they use chatbots to identify their health problems and whether they require seeing a doctor or going to hospital. The team presented nearly 1,300 UK-based participants with 10 different scenarios, such as a headache after a night out drinking, a new mother

It found people using AI for health reasons found it hard to identify what advice they should trust.

Large language models (LLMs) like ChatGPT might be able to get high scores on medical licensing exams, but new research finds they’re lacking when it comes to helping the general public make correct medical decisions. Researchers asked around 1300 people in the UK to identify underlying medical conditions and then choose a course of action, like calling their GP or going to the urgent clinic. The groups that used one of three AI chatbots identified relevant conditions in roughly a third of the cases and they figured out the right correct action in less than 44% - results no better than the control group that could use any other resource like a regular internet search. The researchers argue that current LLMs are not ready to be used for public medical advice.

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Takeda has signed another AI-focused deal, this time focusing on small molecules with the San Diego biotech Iambic. The two announced the multiyear deal Monday, working on undisclosed targets in the oncology, gastrointestinal and inflammation ...

The FDA has cleared RevealDx’s AI-powered lung nodule risk assessment software, RevealAI-Lung, according to a company press release.“There are thousands of lung nodules identified every day in the U.S. alone,” Chris Wood, CEO of RevealDx, told Healio. “This software will provide information that helps radiologists recommend the best follow-up for each patient.”The main element of RevealAI-Lung is the “clinically relevant” Malignancy Similarity Index score (mSI; range, 0-1) that it generates with one click when analyzing incidental lung nodules on chest CT, according to the release. If this

arXiv:2602.06296v1 Announce Type: cross Abstract: This study presents an internalized morphogenesis model for autonomous systems, such as swarm robotics and micro-nanomachines, that eliminates the need for external spatial computation. Traditional self-organizing models often require calculations across the entire coordinate space, including empty areas, which is impractical for resource-constrained physical modules. Our proposed model achieves complex morphogenesis through strictly local interactions between adjacent modules within the "body." By extending the "Ishida token model," modules exchange integer values using an RD-inspired discrete analogue without solving differential equations. The internal potential, derived from token accumulation and aging, guides autonomous growth, shrinkage, and replication. Simulations on a hexagonal grid demonstrated the emergence of limb-like extensions, self-division, and robust regeneration capabilities following structural amputation. A key

arXiv:2602.06541v1 Announce Type: new Abstract: Robotic-assisted surgery has emerged as a promising approach to improve surgical ergonomics, precision, and workflow efficiency, particularly in complex procedures such as cervical spine surgery. In this study, we evaluate the performance of a collaborative robotic system designed to assist surgeons in drilling tasks by assessing its accuracy in executing predefined trajectories. A total of 14 drillings were performed by eight experienced cervical surgeons, utilizing a robotic-assisted setup aimed at ensuring stability and alignment. The primary objective of this study is to quantify the deviations in the position and orientation of the drilling tool relative to the planned trajectory, providing insights into the system's reliability and potential impact on clinical outcomes. While the primary function of robotic assistance in surgery is to enhance surgeon comfort and procedural guidance rather than solely optimizing precision,

arXiv:2602.06296v1 Announce Type: new Abstract: This study presents an internalized morphogenesis model for autonomous systems, such as swarm robotics and micro-nanomachines, that eliminates the need for external spatial computation. Traditional self-organizing models often require calculations across the entire coordinate space, including empty areas, which is impractical for resource-constrained physical modules. Our proposed model achieves complex morphogenesis through strictly local interactions between adjacent modules within the "body." By extending the "Ishida token model," modules exchange integer values using an RD-inspired discrete analogue without solving differential equations. The internal potential, derived from token accumulation and aging, guides autonomous growth, shrinkage, and replication. Simulations on a hexagonal grid demonstrated the emergence of limb-like extensions, self-division, and robust regeneration capabilities following structural amputation. A key

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Most of the approaches demonstrated to alter metabolism in ways that modestly slow aging and extend life involve an increased efficiency of autophagy. This includes mild stresses resulting from exercise, calorie restriction, heat, cold, and low levels of toxin exposure. The processes of autophagy act to recycle damaged or otherwise unwanted cellular components into amino acids that can be used for further protein synthesis, improving cell function. Thus there is interest in the scientific community in finding drugs that can induce increased autophagy. The best known, most readily available, and most advanced in the clinic are varieties of mTOR inhibitor, rapamycin being the canonical example. But many other classes of small molecule may prove to be interesting enough to develop into drugs. Macroautophagy, henceforth referred […]

Cell therapies seem the least likely of approaches to make it into the clinic as a treatment to selectively destroy the senescent cells that linger to cause harm in aged tissues. While it is a very plausible goal to take a CAR T cell therapy and target it to senescent cells, or use adoptive transfer of other immune cell types known to attack senescent cells, as these are just variations on strategies already well demonstrated to work in other contexts, the cost and logistical effort is enormous in comparison to other approaches to the selective destruction of senescence cells. It is far more likely that therapies to adjust the operation of native immune cells, such as the approach under development by Deciduous Therapeutics, or forms […]

Claims linking Selena Gomez to Epstein rely on speculation rather than evidence, offering a case study in how misinformation gains traction when context is missing.

Turning complex CGT logistics into certainty—keeping therapies moving to patients.

Biden clone theory emerges in DOJ's Epstein files release, alleging former president was killed in 2019 and replaced

Cellares, the first Integrated Development and Manufacturing Organization (IDMO), today announced a collaboration with the Stanford Center for Definitive and Curative Medicine (CDCM) and Stanford Innovative Medicines Accelerator (IMA) to automate manufacturing and release testing for gene-edited hematopoietic stem cell (HSC) therapies, expanding the application of Cellares' automation platforms beyond T cell therapies into a new cell modality.

The #1 Cereal You Should Be Eating to Help You Live Longer, According to Dietitians  EatingWell

The #1 Cereal You Should Be Eating to Help You Live Longer, According to Dietitians  EatingWell

The troubling rise of longevity fixation syndrome: ‘I was crushed by the pressure I put on myself’  The Guardian

The troubling rise of longevity fixation syndrome: ‘I was crushed by the pressure I put on myself’  The Guardian

Peptide therapy gains popularity as an alleged anti-aging solution, but health experts warn of significant limitations and serious safety concerns.

A retro computer enthusiast has fitted a thermal printer into an ancient Apple Macintosh Plus.

A peaceful mind in a strong body; that’s the ultimate 'North Star', and there is an “algorithm of you” to achieve that. In reality, it’s about preserving performance — cognitive, physical, metabolic, and emotional — over time The post 7 longevity principles that actually move the needle in 2026 appeared first on Gulf Business.

Antibiotic resistance (AR) has steadily accelerated in recent years to become a global health crisis. As deadly bacteria evolve new ways to elude drug treatments for a variety of illnesses, a growing number of "superbugs" have emerged, ramping up estimates of more than 10 million worldwide deaths per year by 2050.

Rice University bioengineer Antonios Mikos is part of a team of researchers led by the Wake Forest Institute for Regenerative Medicine awarded up to $24.8 million over five years to help address the nation's growing organ donor shortage by bioprinting on-demand kidney tissues.

Hormone replacement therapy applied via the skin is the best way of protecting bone density in women whose periods have stopped due to anorexia or intense exercise, according to new research, published in The Journal of Clinical Endocrinology & Metabolism, by Imperial College London and Imperial College Healthcare NHS Trust.

Melissa Joan Hart lost 18 pounds by cutting two things from her diet during her midlife wellness journey. The former "Sabrina the Teenage Witch" star reveals her approach.

In the pursuit of solutions to complex global challenges including disease, energy demands, and climate change, scientific researchers, including at MIT, have turned to artificial intelligence, and to quantitative analysis and modeling, to design and construct engineered cells with novel properties. The engineered cells can be programmed to become new therapeutics—battling, and perhaps eradicating, diseases.

For centuries, work with donated bodies has shaped anatomical knowledge and medical training.

AI, super drugs and smart glasses: Super Bowl ads go back to the future  AxiosAI companies pour big money into Super Bowl battle  CNBCAI ad of the week: A Super Bowl ad about using AI to create a Super Bowl ad  Ad AgeFrom Svedka to Anthropic, brands make bold plays with AI in Super Bowl ads  TechCrunchWhy OpenAI’s Early Super Bowl Strategy Should Get Small Business Owners’ Attention  inc.com

AI, super drugs and smart glasses: Super Bowl ads go back to the future  AxiosAI companies pour big money into Super Bowl battle  CNBCAI ad of the week: A Super Bowl ad about using AI to create a Super Bowl ad  Ad AgeFrom Svedka to Anthropic, brands make bold plays with AI in Super Bowl ads  TechCrunchWhy OpenAI’s Early Super Bowl Strategy Should Get Small Business Owners’ Attention  inc.com

Why do some people live to 100 while their sibling dies decades earlier? Is it luck, lifestyle, or something written into their DNA? Relative to many other species, humans are particularly long-lived, but there is an ongoing argument about how much of our long lifespan is shaped by our genes and how much to our environment. It's the old "nature versus nurture" debate.

Ultragenyx Pharmaceutical Inc (NASDAQ:RARE) is one of the 13 Best Revenue Growth Stocks to Buy Right Now. On January 30, Ultragenyx Pharmaceutical Inc. (Nasdaq:RARE) resubmitted its Biologics License Application (BLA) to the U.S. Food and Drug Administration, seeking accelerated approval for UX111 AAV9 gene therapy as a treatment for patients with Sanfilippo syndrome type A […]

Researchers at Texas A&M are pairing a widely used ingredient with advanced medical technology to develop new treatments for chronic conditions. Could something as simple as coffee one day play a role in cancer treatment? Researchers at the Texas A&M Health Institute of Biosciences and Technology think it might. By pairing caffeine with CRISPR, a [...]

A theory claims Britney Spears was cloned by conservators and Epstein, but the cited email shows no proof, only noting her child custody issues.

Antibiotic resistance (AR) has steadily accelerated in recent years to become a global health crisis. As deadly bacteria evolve new ways to elude drug treatments for a variety of illnesses, a growing number of "superbugs" have emerged, ramping up estimates of more than 10 million worldwide deaths per year by 2050.

The degree to which human longevity is inherited is one of a large number of interesting research topics that, while being related to aging, has little to no relevance to the question of how to treat aging as a medical condition. In developing means to repair or resist the cell and tissue damage that causes degenerative aging, the focus must be on the damage, not the differences from individual to individual. How it is that aging progresses somewhat differently from individual to individual will become increasingly irrelevant as therapies to slow and reverse aging emerge. That said, today's open access paper on the heritability of longevity is quite interesting. The argument put forward by the authors is that previous efforts to quantify the degree to […]

The onset and aggressiveness of cancer are related to the abnormal behavior of certain genes, known as oncogenes. The best-known of these alterations is mutation, but it is not the only one. Sometimes, within a cell, a very high number of copies of the oncogene appear—tens or even hundreds. This amplification of oncogenes occurs in a significant proportion of solid tumors and may make the tumor more aggressive and prevent the body's defenses from detecting it, contributing to the development of resistance to treatments.

A groundbreaking research initiative spearheaded by a consortium of scientists at the Spanish National Cancer Research Centre (CNIO) and the Innovative Therapies Unit at CIEMAT has unveiled an innovative application of the CRISPR-Cas9 gene-editing technology in the battle against cancer. This pioneering study focuses on the unique vulnerabilities presented by the amplification of oncogenes within […]

HOUSTON – In a groundbreaking initiative, bioengineers at Rice University are embarking on an ambitious project aimed at creating bioprinted kidney tissues to address the acute organ donor shortage in the United States. This collaborative venture, led by Dr. Antonios Mikos, has garnered a staggering funding of up to $24.8 million over five years from […]

The company's ambitious plans to introduce a virtual health coach may be going back to the drawing board, according to a report.

The persistent disparity between organ donation rates and clinical demand has become a critical issue in contemporary medicine, particularly in liver transplantation. This gap highlights the urgent need to widen the donor pool while simultaneously ensuring that the quality of the donor livers is preserved. Historically, the use of extended-criteria donor livers has grown in […]

Renowned as first responders to threatening infections, neutrophils also happen to feature prominently in the microenvironment of tumors, where they and other immune cells play opposing and frequently mutable roles in promoting-or resisting-cancer progression.

In a groundbreaking development at the intersection of artificial intelligence and medical imaging, researchers have unveiled a novel multi-task deep learning model capable of automating the diagnosis of cervical spondylosis from multimodal medical images. This advancement promises to revolutionize the way spinal disorders are detected and managed, heralding a new era of precision medicine tailored […]

Nature is the foremost international weekly scientific journal in the world and is the flagship journal for Nature Portfolio. It publishes the finest peer-reviewed research in all fields of science and technology on the basis of its originality, importance, interdisciplinary interest, timeliness, accessibility, elegance and surprising conclusions. Nature publishes landmark papers, award winning news, leading comment and expert opinion on important, topical scientific news and events that enable readers to share the latest discoveries in science and evolve the discussion amongst the global scientific community.

Nature is the foremost international weekly scientific journal in the world and is the flagship journal for Nature Portfolio. It publishes the finest peer-reviewed research in all fields of science and technology on the basis of its originality, importance, interdisciplinary interest, timeliness, accessibility, elegance and surprising conclusions. Nature publishes landmark papers, award winning news, leading comment and expert opinion on important, topical scientific news and events that enable readers to share the latest discoveries in science and evolve the discussion amongst the global scientific community.

In a landmark achievement that underscores its leading role in pediatric transplant medicine, Texas Children’s Hospital has once again secured the top national position for performing the highest number of pediatric organ transplants. According to data released by the Organ Procurement & Transplantation Network (OPTN), the premier registry for organ matching across the United States, […]

In a groundbreaking study, researchers from the University of Cincinnati have developed an advanced artificial intelligence system capable of predicting substance use disorder behaviors with remarkable accuracy. The sophistication of this AI technology offers a promising new tool for clinicians, enabling timely diagnosis and treatment for individuals struggling with addiction. The challenge of diagnosing substance-use […]

Apple is no longer launching an AI service that can “replicate” a doctor and act as a personal health coach, according to Bloomberg’s Mark Gurman. The company has reportedly scaled back the unannounced initiative in recent weeks, following a recent organization reshuffling wherein services chief Eddy Cue took over the health division. While Apple has never officially announced the AI health coach, it was reported last year that the company was working on developing the service that has been unofficially dubbed Health+. It was supposed to be able to help users track food and correct workout forms using their iPhone’s camera, as well as to recommend lifestyle changes based on users’ health data. Apple even reportedly produced videos for the service, including ones explaining medical conditions and some training guides. Cue reportedly wanted Apple to move faster and be more competitive when it comes to its health-focused products, seeing as the most well-known names in the field

This AI can read a brain MRI in seconds, spot emergencies instantly, and may redefine how neurological care is delivered. Researchers at the University of Michigan have developed an artificial intelligence system that can analyze brain MRI scans and deliver a diagnosis in just seconds, according to a new study. The model identified neurological conditions [...]

A novel dual biologic regimen combining dazodalibep and belatacept is well tolerated and could enable more than half the kidney transplant recipients to avoid broader metabolic pathway inhibitors.

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arXiv:2602.05451v1 Announce Type: new Abstract: Somatic mechanical stimulation (e.g., acupuncture) exerts systemic immunomodulatory effects, yet the cellular bridge translating peripheral physical force into visceral repair remains elusive. Here, employing a custom interpretable deep learning framework (CARSS) on single-cell RNA sequencing data, we identify CD34$^{+}$PDGFR$\alpha$$^{+}$ telocytes (CPTCs) as the primary mechanosensors in both fascia and colon during bacterial colitis. We show that somatic mechanotherapy triggers an AP-1/Hsp70-dependent transcriptional program in fascial CPTCs, inducing systemic Wnt elevation, which elicits a "transcriptional resonance" in colonic CPTCs, reprogramming their communication network from an inflammatory amplifier to a Wnt-driven regenerative hub. Mechanistically, this axis activates epithelial $\beta$-catenin/Myc signaling, suppressing apoptosis and restoring barrier integrity independent of immune cells. Our findings define a CPTC-Driven

arXiv:2602.05856v1 Announce Type: new Abstract: Standardized patients (SPs) play a central role in clinical communication training but are costly, difficult to scale, and inconsistent. Large language model (LLM) based AI standardized patients (AI-SPs) promise flexible, on-demand practice, yet learners often report that they talk like a patient but feel different. We interviewed 12 clinical-year medical students and conducted three co-design workshops to examine how learners experience constraints of SP encounters and what they expect from AI-SPs. We identified six learner-centered needs, translated them into AI-SP design requirements, and synthesized a conceptual workflow. Our findings position AI-SPs as tools for deliberate practice and show that instructional usability, rather than conversational realism alone, drives learner trust, engagement, and educational value.

arXiv:2602.05687v1 Announce Type: new Abstract: Individuals are increasingly generating substantial personal health and lifestyle data, e.g. through wearables and smartphones. While such data could transform preventative care, its integration into clinical practice is hindered by its scale, heterogeneity and the time pressure and data literacy of healthcare professionals (HCPs). We explore how large language models (LLMs) can support sensemaking of patient-generated health data (PGHD) with automated summaries and natural language data exploration. Using cardiovascular disease (CVD) risk reduction as a use case, 16 HCPs reviewed multimodal PGHD in a mixed-methods study with a prototype that integrated common charts, LLM-generated summaries, and a conversational interface. Findings show that AI summaries provided quick overviews that anchored exploration, while conversational interaction supported flexible analysis and bridged data-literacy gaps. However, HCPs raised concerns about

arXiv:2602.05111v1 Announce Type: new Abstract: As Artificial Intelligence (AI) conversational agents become widespread, people are increasingly using them for health information seeking. The use of off-the-shelf conversational agents for health information seeking could place high metacognitive demands (the need for extensive monitoring and control of one's own thought process) on individuals, which could compromise their experience of seeking health information. However, currently, the specific demands that arise while using conversational agents for health information seeking, and the strategies people use to cope with those demands, remain unknown. To address these gaps, we conducted a think-aloud study with 15 participants as they sought health information using our off-the-shelf AI conversational agent. We identified the metacognitive demands such systems impose, the strategies people adopt in response, and propose considerations for designing beyond off-the-shelf interfaces to

arXiv:2602.05088v1 Announce Type: new Abstract: Millions now use leading generative AI chatbots for psychological support. Despite the promise related to availability and scale, the single most pressing question in AI for mental health is whether these tools are safe. The Validation of Ethical and Responsible AI in Mental Health (VERA-MH) evaluation was recently proposed to meet the urgent need for an evidence-based automated safety benchmark. This study aimed to examine the clinical validity and reliability of the VERA-MH evaluation for AI safety in suicide risk detection and response. We first simulated a large set of conversations between large language model (LLM)-based users (user-agents) and general-purpose AI chatbots. Licensed mental health clinicians used a rubric (scoring guide) to independently rate the simulated conversations for safe and unsafe chatbot behaviors, as well as user-agent realism. An LLM-based judge used the same scoring rubric to evaluate the same set of

arXiv:2602.04990v1 Announce Type: new Abstract: The allocation of scarce donor organs constitutes one of the most consequential algorithmic challenges in healthcare. While the field is rapidly transitioning from rigid, rule-based systems to machine learning and data-driven optimization, we argue that current approaches often overlook a fundamental barrier: incentives. In this position paper, we highlight that organ allocation is not merely a static optimization problem, but rather a complex game involving transplant centers, clinicians, and regulators. Focusing on US adult heart transplant allocation, we identify critical incentive misalignments across the decision-making pipeline, and present data showing that they are having adverse consequences today. Our main position is that the next generation of allocation policies should be incentive aware. We outline a research agenda for the machine learning community, calling for the integration of mechanism design, strategic

arXiv:2602.04989v1 Announce Type: new Abstract: Online matching has been a mainstay in domains such as Internet advertising and organ allocation, but practical algorithms often lack strong theoretical guarantees. We take an important step toward addressing this by developing new online matching algorithms based on a coarsening approach. Although coarsening typically implies a loss of granularity, we show that, to the contrary, aggregating offline nodes into capacitated clusters can yield near-optimal theoretical guarantees. We apply our methodology to heart transplant allocation to develop theoretically grounded policies based on structural properties of historical data. In realistic simulations, our policy closely matches the performance of the omniscient benchmark. Our work bridges the gap between data-driven heuristics and pessimistic theoretical lower bounds, and provides rigorous justification for prior clustering-based approaches in organ allocation.

Parkinson's disease is a progressive neurodegenerative disorder that affects more than one million people in the United States, with approximately 90,000 new cases diagnosed each year. Although available treatments can help manage symptoms, there is currently no cure or therapy proven to slow the progression of the disease.

Bloomberg reports that Apple has recently scaled back its plans for the Project Mulberry initiative following a leadership shakeup at the company’s health organization. Here are the details. more…

Mark Gurman / Bloomberg: Sources: Apple wound down plans for an AI-based virtual health coach in recent weeks; Eddy Cue has told colleagues that Apple needs to move faster in health  —  Apple Inc. is scaling back plans for a virtual health coach, according to people with knowledge of the matter …

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction. Now a study by the University of Cincinnati has used a novel artificial intelligence to predict substance-use-defining behaviors with up to 83% accuracy, and with 84% accuracy to predict the severity of the addiction. Researchers say this could allow clinicians to provide treatment faster to patients who need it.

Muscles make up nearly 40% of the human body and power every move we make, from a child's first steps to recovery after injury. For some, however, muscle development goes awry, leading to weakness, delayed motor milestones or lifelong disabilities. New research from the University of Georgia is shedding light on why.

Gene therapy holds the promise of preventing and curing disease by manipulating gene expression within a patient's cells. However, to be effective, the new gene must make it into a cell's nucleus.

Parkinson's disease is a progressive neurodegenerative disorder that affects more than one million people in the United States, with approximately 90,000 new cases diagnosed each year.

You may soon be able to access every family member's health data in one place.

Christopher 'Kid' Reid reveals he underwent heart transplant  ABC NewsView Full Coverage on Google News

Christopher 'Kid' Reid reveals he underwent heart transplant  ABC NewsView Full Coverage on Google News

Justin Bieber's low key Grammys return has been overshadowed by a frenzy over his sharply defined hairline, with fans and even Ryanair joking about a possible hair transplant. Surgeons have long suggested his changing hairline looks surgical, but with Bieber staying silent, the real story is our relentless fixation on men's appearance.

Oceanic ecosystems are increasingly threatened by global warming, which causes coral bleaching, species migration and, through the loss of habitats and biodiversity, food web disruptions on major scales. Also, pollutants such as plastics and other marine debris, wastewater, as well as chemical runoffs, including oil spills, cause major ecosystem disruptions. Importantly, given the interconnectedness of all life on the planet, the deteriorating health of our oceans directly impacts human health and sustenance.

Quantum computers hold great promise for exciting applications in the future, but for now they keep presenting physicists and engineers with a series of challenges and conundrums. One of them relates to decoherence and the errors that result from it: bit flips and phase flips. Such errors mean that the logical unit of a quantum computer, the qubit, can suddenly and unpredictably change its state from "0" to "1," or that the relative phase of a superposition state can jump from positive to negative.

THURSDAY, Feb. 5, 2026 — People who follow a Mediterranean diet might lower their risk of stroke, a new study reports.Overall, women who stuck most closely to an eating pattern resembling the Mediterranean diet had an 18% lower risk of any sort of s...

New software may help catch malignancies sooner.

Nexalin launched its AI-powered NeuroCare virtual clinic with UC San Diego, enabling at-home brain treatment, remote monitoring, and subscription-based care for Alzheimer's, mood disorders, and brain injuries. Importance Rank:  1 read more

Parkinson’s disease represents one of the most challenging neurodegenerative conditions affecting the global population, with an incidence exceeding one million individuals in the United States alone. Each year, approximately 90,000 new cases are diagnosed, underscoring the urgent need for therapeutic innovations. While current treatments primarily focus on symptomatic relief, there remains a conspicuous absence of […]

CRISPR Therapeutics (NASDAQ:CRSP) is one of the stocks that should double by 2030. On January 30, Citizens maintained an Outperform rating on CRISPR Therapeutics while reducing the price target from $86 to $80. The firm highlighted that much of the pipeline remains undervalued and noted that the company could begin late-stage development for up to […]

Missouri patient survives double-lung transplant after innovative 48-hour bridge therapy removes infected lungs, offering new hope for similar cases.

Just nine days after dosing the first patient in a Phase 3 trial, Generate:Biomedicines has filed for an IPO. The Flagship Pioneering-backed startup has become a richly-funded leader of AI bio since its founding in ...

A recent human trial of α-ketoglutarate supplementation failed to show benefits, but researchers continue to show interest in α-ketoglutarate based on results in cells and animal studies. In this example, researchers link α-ketoglutarate availability to the regulation of cellular senescence via TET. It may be that this interaction is not as important to cellular senescence in humans as it is in mice, or that middle aged people (40 to 60) don't have a large enough burden of senescent cells to make effect sizes resulting from α-ketoglutarate supplementation easily visible, or that the optimal dose is higher than the trial dose. Regardless, it seems a poor substitute for senolytics if the goal is to influence the burden of senescence in older people. Cellular senescence, a state […]

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Two-decade study indicates a diet rich in foods such as olive oil, nuts and vegetables can cut risk of every type of stroke A Mediterranean diet can reduce the risk of every type of stroke, in some cases by as much as 25%, a large study conducted over two decades suggests. A diet rich in olive oil, nuts, seafood, whole grains and vegetables has previously been linked to a number of health benefits. However, until now there has been limited evidence of how it might affect the risk of all forms of stroke. Continue reading...

arXiv:2602.04813v1 Announce Type: new Abstract: Large Language Model (LLM)-based agents that plan, use tools and act has begun to shape healthcare and medicine. Reported studies demonstrate competence on various tasks ranging from EHR analysis and differential diagnosis to treatment planning and research workflows. Yet the literature largely consists of overviews which are either broad surveys or narrow dives into a single capability (e.g., memory, planning, reasoning), leaving healthcare work without a common frame. We address this by reviewing 49 studies using a seven-dimensional taxonomy: Cognitive Capabilities, Knowledge Management, Interaction Patterns, Adaptation & Learning, Safety & Ethics, Framework Typology and Core Tasks & Subtasks with 29 operational sub-dimensions. Using explicit inclusion and exclusion criteria and a labeling rubric (Fully Implemented, Partially Implemented, Not Implemented), we map each study to the taxonomy and report quantitative summaries of

arXiv:2602.04624v1 Announce Type: new Abstract: This data article presents a dataset of 11,884 labeled images documenting a simulated blood extraction (phlebotomy) procedure performed on a training arm. Images were extracted from high-definition videos recorded under controlled conditions and curated to reduce redundancy using Structural Similarity Index Measure (SSIM) filtering. An automated face-anonymization step was applied to all videos prior to frame selection. Each image contains polygon annotations for five medically relevant classes: syringe, rubber band, disinfectant wipe, gloves, and training arm. The annotations were exported in a segmentation format compatible with modern object detection frameworks (e.g., YOLOv8), ensuring broad usability. This dataset is partitioned into training (70%), validation (15%), and test (15%) subsets and is designed to advance research in medical training automation and human-object interaction. It enables multiple applications, including

arXiv:2602.04160v1 Announce Type: new Abstract: We present PFluxTTS, a hybrid text-to-speech system addressing three gaps in flow-matching TTS: the stability-naturalness trade-off, weak cross-lingual voice cloning, and limited audio quality from low-rate mel features. Our contributions are: (1) a dual-decoder design combining duration-guided and alignment-free models through inference-time vector-field fusion; (2) robust cloning using a sequence of speech-prompt embeddings in a FLUX-based decoder, preserving speaker traits across languages without prompt transcripts; and (3) a modified PeriodWave vocoder with super-resolution to 48 kHz. On cross-lingual in-the-wild data, PFluxTTS clearly outperforms F5-TTS, FishSpeech, and SparkTTS, matches ChatterBox in naturalness (MOS 4.11) while achieving 23% lower WER (6.9% vs. 9.0%), and surpasses ElevenLabs in speaker similarity (+0.32 SMOS). The system remains robust in challenging scenarios where most open-source models fail, while requiring

ICAR-IARI and SMSF organized a seminar on regenerative and precision farming, training 130 participants in climate-resilient, technology-driven soil restoration.