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For decades, medical science has largely dismissed the thymus gland as a relic of childhood, an organ relegated to history after puberty when it involutes and seemingly retreats from active duty. However, groundbreaking research from Mass General Brigham is now turning this long-standing assumption on its head. By leveraging artificial intelligence to analyze routine CT […]

The role of the thymus in our long-term immunity and health is poorly understood. A new study suggests we need to pay attention

Two new studies from investigators at Mass General Brigham challenge a decades-old assumption that the thymus, an organ best known for its role in establishing immune function in childhood, becomes irrelevant in adulthood. Using artificial intelligence (AI) to analyze routine CT scans, researchers uncovered that adults with a healthy thymus had increased longevity and reduced risk for cardiovascular disease and cancer.

It'll even analyze your lab results to deliver personalized recommendations. But here's what you need to know first.

New gut bacteria longevity research reveals specific microbes that may support healthy aging, improve immunity, and extend lifespan through better gut health and balanced microbiome function.

Fitbit is adding medical record integration, smarter sleep tracking, and glucose insights, aiming to turn its app into a more personalized health companion with AI guidance based on real user data. The post Fitbit improves sleep tracking and adds an AI coach that uses your medical history appeared first on Digital Trends.

More Than 3,500 Reasons Why Roche is Winning the Race for AI in Drug Discovery Pharmaceutical giant “Roche” is making a major push into artificial intelligence, investing heavily in cutting-edge Computing power to speed up how new drugs are discovered and developed. The company recently revealed plans to build a large-scale “AI factory” powered by […] The post More Than 3,500 Reasons Why Roche is Winning the Race for AI in Drug Discovery appeared first on BioTecNika.

arXiv:2603.15980v1 Announce Type: cross Abstract: Deep learning has achieved remarkable success in medical image analysis, yet its performance remains highly sensitive to the heterogeneity of clinical data. Differences in imaging hardware, staining protocols, and acquisition conditions produce substantial domain shifts that degrade model generalization across institutions. Here we present a physics-based data preprocessing framework based on the PhyCV (Physics-Inspired Computer Vision) family of algorithms, which standardizes medical images through deterministic transformations derived from optical physics. The framework models images as spatially varying optical fields that undergo a virtual diffractive propagation followed by coherent phase detection. This process suppresses non-semantic variability such as color and illumination differences while preserving diagnostically relevant texture and structural features. When applied to histopathological images from the Camelyon17-WILDS

arXiv:2603.15980v1 Announce Type: cross Abstract: Deep learning has achieved remarkable success in medical image analysis, yet its performance remains highly sensitive to the heterogeneity of clinical data. Differences in imaging hardware, staining protocols, and acquisition conditions produce substantial domain shifts that degrade model generalization across institutions. Here we present a physics-based data preprocessing framework based on the PhyCV (Physics-Inspired Computer Vision) family of algorithms, which standardizes medical images through deterministic transformations derived from optical physics. The framework models images as spatially varying optical fields that undergo a virtual diffractive propagation followed by coherent phase detection. This process suppresses non-semantic variability such as color and illumination differences while preserving diagnostically relevant texture and structural features. When applied to histopathological images from the Camelyon17-WILDS

arXiv:2603.16204v1 Announce Type: new Abstract: Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Human-Centered AI (HCAI), are increasingly used to expand access to digital psychiatry and mental health care. This PRISMA-ScR scoping review maps the landscape of AI-driven mental health (mHealth) technologies across five critical phases: pre-treatment (screening/triage), treatment (therapeutic support), post-treatment (remote patient monitoring), clinical education, and population-level prevention. We synthesized 36 empirical studies implemented through early 2024, focusing on Large Language Models (LLMs), machine learning (ML) models, and autonomous conversational agents. Key use cases involve referral triage, empathic communication enhancement, and AI-assisted psychotherapy delivered via chatbots and voice agents. While benefits include reduced wait times and increased patient engagement, we address recurring challenges like algorithmic

arXiv:2603.15901v1 Announce Type: new Abstract: This dissertation investigates privacy-preserving federated learning for Alzheimer's disease classification using three-dimensional MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Existing methodologies often suffer from unrealistic data partitioning, inadequate privacy guarantees, and insufficient benchmarking, limiting their practical deployment in healthcare. To address these gaps, this research proposes a novel site-aware data partitioning strategy that preserves institutional boundaries, reflecting real-world multi-institutional collaborations and data heterogeneity. Furthermore, an Adaptive Local Differential Privacy (ALDP) mechanism is introduced, dynamically adjusting privacy parameters based on training progression and parameter characteristics, thereby significantly improving the privacy-utility trade-off over traditional fixed-noise approaches. Systematic empirical evaluation across multiple client

arXiv:2603.15900v1 Announce Type: new Abstract: The Internet has evolved by progressively expanding what humanity connects: first computers, then people, and later billions of devices through the Internet of Things (IoT). While IoT succeeded in digitizing perception at scale, it also exposed fundamental limitations, including fragmentation, weak security, limited autonomy, and poor long-term sustainability. Today, advances in edge hardware, sensing, connectivity, and artificial intelligence enable a new phase: the Internet of Physical AI Agents. Unlike IoT devices that primarily sense and report, Physical AI Agents perceive, reason, and act in real time, operating autonomously and cooperatively across safety-critical domains such as disaster response, healthcare, industrial automation, and mobility. However, embedding fast-evolving AI capabilities into long-lived physical infrastructure introduces new architectural risks, particularly around interoperability, lifecycle management, and

Medical Korea 2026 will open Thursday for a four-day run at Coex in Gangnam District, Seoul, featuring artificial intelligence (AI)-focused programs connecting Korea and the global health care industry. Hosted by the Ministry of Health and Welfare, the event has served since 2010 as a platform for global health care experts to share industry insights and promote international cooperation. Under the theme “AI-Powered Global Healthcare: Bringing the Future and the World Closer,” this year’s event will examine key challenges and the future of the health care industry in the era of AI. Edward Marx, chief executive officer of health care consulting firm Marx Advisory, will deliver a keynote address on how AI is reshaping the global health care industry. Jung Eun-young, director general of the Health Industry Policy Bureau at the health ministry, will outline Korea’s global medical services and future policy directions. Business meetings will connect overseas buyers seeking partnerships with

In the complex microenvironment of a diseased cell, genetic expression is often in a state of profound dysregulation. Genes that should maintain equilibrium in their protein production swing erratically; some sharply elevate their activity while others become unexpectedly dormant. This inversion of biological norms disrupts cellular homeostasis and propagates disease pathology, posing a formidable challenge […]

The 2026 AWS Pioneers cohort spans healthcare, climate, and conflict zones, and lands alongside a stark warning that Europe risks losing its best innovators if the regulatory environment doesn’t change. Amazon Web Services announced today the second annual cohort of its Pioneers Project: twelve European companies using AI and cloud infrastructure to tackle problems that […] This story continues at The Next Web

Fi Intelligence allows you to ask questions of a specially tailored pet health chatbot, but it's not meant to replace vet visits.

Inside a diseased cell, the genes are in chaos. Some are receiving signals to overproduce a protein. Others are reducing activity to abnormal levels. Up is down and down is up. The right molecule could restore order, reversing dysregulation in specific genes. But finding the ideal compound could require examining millions of chemicals for their influence on hundreds or thousands of genes.

MDI Bio Lab scientists discovered how zebrafish solve a basic challenge in regenerative biology—insights in their newest publication in the journal Development could one day guide human repair.

In the realm of regenerative medicine, addressing the challenge of volumetric muscle loss (VML) remains a formidable hurdle. VML, often the consequence of traumatic muscle injury, results in the irreversible loss of muscle volume and function, profoundly impacting patient mobility and quality of life. Traditional therapeutic approaches, though promising, have encountered significant obstacles, particularly in […]

A simple blood test could one day help identify survival risks earlier and guide treatment strategies to promote healthy aging

Musculoskeletal disorders are a primary cause of disability worldwide, especially in aging societies like Japan. As individuals age, reductions in muscle mass and physical activity weaken the body's structural support, increasing the likelihood of falls, bruises, fractures, and subsequent functional decline.

Google has pulled the plug on a “What people suggest” feature in Search that would use AI to summarize health tips from real users on Reddit and other communities online. more…

In a groundbreaking discovery that bridges immunology, muscle biology, and rare genetic disorders, researchers have identified a novel macrophage subset dubbed “Mrep” that orchestrates skeletal muscle regeneration but, paradoxically, also induces pathological bone formation in the devastating condition known as Fibrodysplasia Ossificans Progressiva (FOP). This dual functionality opens new therapeutic avenues both for enhancing muscle […]

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Each year, thousands of people in the U.S. die waiting for donated organs. A new book shares how organs from other species could change that.

Explore how CRISPR gene editing is transforming genetic disease treatment, uncovering breakthroughs, safety advances, and the future possibilities of curing inherited disorders through DNA repair.

A new study investigates how telomeres adjust their length during the first cell divisions of life. Small plastic or metal tips at the ends of shoelaces, called aglets, keep laces from unraveling and protect them from wear. Chromosomes have a similar protective feature. Their ends are capped by telomeres—structures made of repeated DNA sequences and [...]

arXiv:2603.15004v1 Announce Type: new Abstract: Code clone detection (CCD) supports software maintenance, refactoring, and security analysis. Although pre-trained models capture code semantics, most work reduces CCD to binary classification, overlooking the heterogeneity of clone types and the seven fine-grained categories in BigCloneBench. We present Full Model, a multimodal fusion framework that jointly integrates heuristic similarity priors from classical machine learning, structural signals from abstract syntax trees (ASTs), and deep semantic embeddings from CodeBERT into a single predictor. By fusing structural, statistical, and semantic representations, Full Model improves discrimination among fine-grained clone types while keeping inference cost practical. On the seven-class BigCloneBench benchmark, Full Model raises Macro-F1 from 0.695 to 0.875. Ablation studies show that using the primary model's probability distribution as a prior to guide selective arbitration by a large

arXiv:2603.14876v1 Announce Type: new Abstract: This research paper outlines the development and implementation of a novel Clinical Decision Support System (CDSS) that integrates AI predictive modeling with medical knowledge bases. It utilizes the quantifiable information elements in lab results for inferring likely diagnoses a patient might have. Subsequently, suggesting investigations to confirm the likely diagnoses -- an assistive tool for physicians. The system fuses knowledge contained in a rule-base expert system with inferences of data driven predictors based on the features in labs. The data for 593,055 patients was collected from 547 primary care centers across the US to model our decision support system and derive Real-Word Evidence (RWE) to make it relevant for a large demographic of patients. Our Rule-Base comprises clinically validated rules, modeling 59 health conditions that can directly confirm one or more of diseases and assign ICD-10 codes to them. The Likely

arXiv:2603.14622v1 Announce Type: new Abstract: We present a progress-based fault detection module and its integration with dynamic task allocation for heterogeneous robot teams. The detector monitors a normalized task-completion signal with a lightweight Kalman filter (KF) and a normalized innovation squared (NIS) test, augmented with a low-rate stall gate, an uncertainty gate, and debounce logic. Health estimates influence the allocator via health-weighted costs and health-dependent masks; reallocation is event-triggered and regularized with an $\ell_1$ assignment-change penalty to limit reassignment churn while preserving feasibility through slack variables. The detector has constant per-robot update cost, and the allocation remains a convex quadratic program (QP). Experiments on a common team-task setup evaluate measurement-noise increases, velocity-slip biases, communication dropouts, and task abandonment. The results show timely detection in the noise and bias cases, maintained

arXiv:2603.13743v1 Announce Type: new Abstract: Large language model (LLM)-based AI agents are increasingly capable of complex clinical reasoning and may soon participate in medical decision-making with limited or no real-time human oversight. This shift raises fundamental questions about how the core principles of medical ethics (i.e., beneficence, nonmaleficence, autonomy, and justice) can be upheld when the clinical responsibility extends to autonomous systems. Here we propose an ethics-by-design framework for medical AI agents comprising six practical interventions: auditable ethical reasoning modules, explicit human override conditions, structured patient preference profiles, AI-specific ethics oversight tools, global benchmarking repositories for ethical scenarios, and regulatory sandboxes for real-world evaluation. Together, these mechanisms aim to operationalize ethical governance for emerging clinical AI agents.

In this episode of Revolution Health Radio, Chris breaks down a new large-scale study challenging the popular belief that plant-based diets promote longevity. The findings reveal that vegetarians—especially vegans—were significantly less likely to reach age 100 compared to omnivores. Chris explores the biological reasons behind these findings, emphasizing the importance of high-quality protein and nutrient bioavailability, as well as why certain nutrients may be harder to obtain from plant-only diets. He also discusses the powerful nutritional synergy that occurs when plant and animal foods are consumed together, arguing against rigid dietary dogma and advocating for a balanced, omnivorous approach to support healthy aging and longevity. The post RHR: New Study Challenges the Plant-Based Longevity Myth appeared first on Chris Kresser.

A team of University of Mississippi researchers is developing a way to use 3D printed medicated patches to help close persistent sores and ulcers.

A Global Grand Challenges case study reveals the potential of large language models (LLMs) to close health gaps in South Asia, but only when they're adapted and fine-tuned using local data and expertise. The study, "Evaluating large language models for clinical note processing: local fine-tuning and internal–external validation using electronic health records from South Asia," has been published in BMC Medical Informatics and Decision Making. A collaboration between Associate Professor Sara Khalid at NDORMS and Dr. Faisal Sultan from the Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC) in Pakistan.

Deepfake rumors started after social media users claimed Netanyahu is depicted in this video with six fingers on his right hand (seen left). | Image: Israel Government Press Office Social media platforms are currently awash with conspiracy theories claiming that Benjamin Netanyahu has been killed or injured and replaced by AI-generated deepfakes. Between clips that supposedly show the Israeli Prime Minister sporting extra fingers and drinking from a bottomless, gravity-defying cup of coffee, only one thing is apparent: reality used to be much easier to prove. There's very little credible evidence to suggest that Netanyahu isn't alive. But credibility is a rare commodity now that AI can convincingly clone real people across image, video, and audio formats, so it's getting tougher to conclusively dispel the rumors. This … Read the full story at The Verge.

Operations and hospital networks not affected, we're told Robotics-assisted surgical tech firm Intuitive said that unauthorized intruders gained access to some of its internal IT business applications after stealing an employee's credentials during a phishing attack.…

A groundbreaking international study spearheaded by researchers at Adelaide University has unveiled significant sex-based disparities in cancer survival and treatment-related toxicities, revealing that women generally exhibit a survival advantage but endure more severe side effects compared to men. This meta-analysis, published in the Journal of the National Cancer Institute, synthesizes individual patient data from over […]

On the matter of cellular senescence as a contributing cause of degenerative aging, there is a school of thought whose members argue that at least some senescent cells are doing something useful by existing, despite their problematic behavior. Therefore therapeutic approaches should focus on prevention of senescence (senostatics) or reducing the harmful senescence-associated secretory phenotype (SASP) (senomorphics) rather than on outright destruction of senescent cells (senolytics). Within the array of possible ways to reduce the pace at which cells become senescence, sabotaging the ability of senescent cells to encourage their neighbors to also become senescent has been little explored, so it is interesting to note recent work on this topic. Today's open access paper represents is an early step on the path to finding ways […]

Under the ARPA-H award, BioCurie officials say the company will design, build, and validate an AI-powered digital platform that replaces trial-and-error process development with intelligent computational modeling and simulation. The post ARPA-H Grants BioCurie Funds to Build Scalable Gene Therapy Manufacturing Platform appeared first on GEN - Genetic Engineering and Biotechnology News.

Loss of communication can be among the most devastating symptoms for patients with paralysis. A new study by investigators from Mass General Brigham Neuroscience Institute and Brown University describes an investigational implantable brain computer interface (iBCI) typing neuroprosthesis that can restore communication with speed and accuracy.

Stem cells are gaining attention for their potential to treat leukemia, certain solid tumor cancers, and inherited metabolic disorders. Now, a clinical trial reports that a single dose can significantly improve physical strength and key signs of aging in older adults with frailty.

Researchers here provide data on the correlations between (a) secreted proteins circulating in blood that are distinct to senescent cells of various types, and (b) a number of different age-related conditions. Some cell types are better than others when it comes to the strength of correlation between the burden of senescence as assessed by circulating proteins and status of given age-related condition. This process of mapping the landscape of senescence and aging sets the stage for the development of better assays that can inform patients as to the risk resulting from the burden of senescence, and later the degree of improvement produced by therapies capable of reducing the burden of senescent cells. Senescence is characterized in part by proteomic expression changes, including the secretion of […]

Senescent cells accumulate in tissues with age to promote degenerative aging. Senescent cells cause harm via the signals that they send to other cells, the senescence-associated secretory phenotype (SASP). The SASP is by no means fully understood, and while it clearly contains many pro-inflammatory and pro-growth signals, it probably has many other effects as well. Here, researchers provide evidence for one specific SASP signal molecule to interfere in the benefits of exercise. Clearance of senescent cells should therefore produce an enhanced response to exercise in old individuals, in addition to the other benefits already demonstrated in a sizeable number of animal studies. Adaptation to physiological stress is fundamental to health but varies widely among individuals. In humans, this heterogeneity is evident in markedly different gains […]

A team of scientists in China has developed a way to freeze and revive organs for transplant, extending their viability from as little as six hours to several days, according to a peer-reviewed study published in the Journal of Medical Devices. While the technology is still at the experimental stage and has not yet progressed to human trials, it could one day transform the entire field of organ transplantation, especially for hearts, the researchers say. “If just half of the currently discarded...

arXiv:2603.12299v1 Announce Type: new Abstract: This thesis presents Regenerative Rejection Sampling (RRS), a novel approximate sampling algorithm inspired by classical Rejection Sampling and Markov Chain Monte Carlo methods. The method constructs a continuous-time regenerative process whose stationary distribution coincides with a target density known only up to a normalizing constant. Unlike standard Rejection Sampling, RRS does not require the existence of a finite constant that upper-bounds the likelihood ratio. As a result, its total variation convergence rate remains exponential for a larger class of scenarios compared to, for example, the Independent Metropolis-Hastings sampler, which requires a finite bounding constant. To explain the workings of the method, we first present a detailed review of renewal and regenerative processes, including their limit theorems, stationary versions, and convergence properties under standard conditions. We explain a coupling proof for

arXiv:2603.12299v1 Announce Type: cross Abstract: This thesis presents Regenerative Rejection Sampling (RRS), a novel approximate sampling algorithm inspired by classical Rejection Sampling and Markov Chain Monte Carlo methods. The method constructs a continuous-time regenerative process whose stationary distribution coincides with a target density known only up to a normalizing constant. Unlike standard Rejection Sampling, RRS does not require the existence of a finite constant that upper-bounds the likelihood ratio. As a result, its total variation convergence rate remains exponential for a larger class of scenarios compared to, for example, the Independent Metropolis-Hastings sampler, which requires a finite bounding constant. To explain the workings of the method, we first present a detailed review of renewal and regenerative processes, including their limit theorems, stationary versions, and convergence properties under standard conditions. We explain a coupling proof for

arXiv:2603.12713v1 Announce Type: new Abstract: Tissues must maintain macroscopic homeostasis despite the continuous microscopic accumulation of cellular damage. Theoretical models of this process often suffer from a disconnect between microscopic biophysics and macroscopic phenomenological games. Here, we bridge this gap by deriving an exact dimensionality reduction of a physiologically structured partial differential equation (PDE) into a low-dimensional dynamical system. Under the condition of uniform mortality, we mathematically demonstrate that tissue homeostasis operates as an induced Nash equilibrium, where the per-capita net growth rates of stem and differentiated phenotypes perfectly equalize. This reduction yields closed-form algebraic rules, the Ratio and Equalization Laws, that map continuous microscopic state dynamics to measurable macroscopic observables. To demonstrate the biological utility of this framework, we present a concrete, falsifiable case study of the murine

arXiv:2603.12880v1 Announce Type: cross Abstract: The use of wearables in medicine and wellness, enabled by AI-based models, offers tremendous potential for real-time monitoring and interpretable event detection. Explainable AI (XAI) is required to assess what models have learned and build trust in model outputs, for patients, healthcare professionals, model developers, and domain experts alike. Explaining AI decisions made on time-series data recorded by wearables is especially challenging due to the data's complex nature and temporal dependencies. Too often, explainability using interpretable features leads to performance loss. We propose a novel XAI method that combines explanation spaces and concept-based explanations to explain AI predictions on time-series data. By using Inherently Interpretable Components (IICs), which encapsulate domain-specific, interpretable concepts within a custom explanation space, we preserve the performance of models trained on time series while

arXiv:2603.12713v1 Announce Type: cross Abstract: Tissues must maintain macroscopic homeostasis despite the continuous microscopic accumulation of cellular damage. Theoretical models of this process often suffer from a disconnect between microscopic biophysics and macroscopic phenomenological games. Here, we bridge this gap by deriving an exact dimensionality reduction of a physiologically structured partial differential equation (PDE) into a low-dimensional dynamical system. Under the condition of uniform mortality, we mathematically demonstrate that tissue homeostasis operates as an induced Nash equilibrium, where the per-capita net growth rates of stem and differentiated phenotypes perfectly equalize. This reduction yields closed-form algebraic rules, the Ratio and Equalization Laws, that map continuous microscopic state dynamics to measurable macroscopic observables. To demonstrate the biological utility of this framework, we present a concrete, falsifiable case study of the

A new Garmin Chat Connector could let users talk to AI assistants like ChatGPT about their fitness data from Garmin Connect. The post You will soon be able to talk extensively about your Garmin health data with an AI appeared first on Digital Trends.

UniQure needs to run another trial to prove its gene therapy "actually helps people with Huntington's disease," said a senior FDA official.

Can a groundbreaking cancer therapy help people with multiple sclerosis?  NBC News

Can a groundbreaking cancer therapy help people with multiple sclerosis?  NBC News

Joe*, a 20-year-old Hong Kong student, began seeking emotional support for dating advice, family relationships and stress management a few months ago to ease his anxieties. He asked questions during his commute to school, while studying in the evening and even when he could not sleep late at night. His go-to chatbot: OpenAI’s ChatGPT, which he accesses through the artificial intelligence (AI) aggregator app, Poe. “To a certain extent, AI may know me better than my friends,” Joe said. Joe is...

When an AI system in health care gives a confident answer, should clinicians trust it? In a new

The long-running British period gangster series gets its own movie, starring Cillian Murphy and Barry Keoghan.

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In a groundbreaking study published in npj Viruses, researchers have unveiled the crucial role of Site-1 protease (S1P) in mediating glycoprotein precursor (GPC) processing, a step essential for the persistence of Lymphocytic Choriomeningitis Virus (LCMV) Clone 13. This discovery marks a significant leap in our understanding of viral persistence mechanisms, which could pave the way […]

A flexible magnetic soft robot using magnetorheological fluids navigates the gastrointestinal tract, folds to fit narrow passages, and delivers drugs to targeted lesion sites.

American Medical Association: A survey of 1,692 US physicians: over 80% use AI professionally and the most common use cases are medical research summarization and clinical care documentation  —  CHICAGO — New research from the American Medical Association's Center for Digital Health and AI shows that physicians' adoption …

A new LMU study shows how proteins function reliably even without a stable 3D structure – and the crucial importance not only of short sequence motifs, but also of the chemical characteristics.

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Huntsman Mental Health Institute today announced the publication of a pioneering framework designed to ensure artificial intelligence (AI) systems used in health care are developed and deployed ethically, transparently, and with patient equity at the forefront. The framework—Scalable Agile Framework for Execution in AI (SAFE AI)—has been published in the Journal of Medical Internet Research (JMIR), a leading peer-reviewed academic journal for digital health research.

UK surgeons remotely removed a man’s prostate cancer from 1,500 miles away in the country’s first successful robot-assisted telesurgery.

As colon cancer rises in younger adults, D-FW scientists uncover crucial clue  Dallas NewsColon cancer now leading cause of cancer deaths under 50 in US  The GuardianColorectal cancer diagnosis at 45: Singing River patient’s story  WLOXWhy Colon Cancer Is Rising in Young Adults: Scientists Discover Unexpected Physical Clue  SciTechDailyHealthier Hawaii: Colorectal cancer now top killer for people under 50, doctor urges screenings  Hawaii News Now

As colon cancer rises in younger adults, D-FW scientists uncover crucial clue  Dallas NewsColon cancer now leading cause of cancer deaths under 50 in US  The GuardianColorectal cancer diagnosis at 45: Singing River patient’s story  WLOXWhy Colon Cancer Is Rising in Young Adults: Scientists Discover Unexpected Physical Clue  SciTechDailyHealthier Hawaii: Colorectal cancer now top killer for people under 50, doctor urges screenings  Hawaii News Now

In the relentless pursuit of advancing electric vehicle technology, one of the most daunting challenges remains the limited lifespan and range of lithium-ion batteries. This limitation impedes widespread adoption, invoking consumer anxiety over being stranded with depleted batteries and facing prolonged charging times. A major stride forward emerges from a breakthrough in cathode material engineering, […]

Brookfield Asset Management Ltd. (NYSE:BAM) is one of the 10 Best Asset Management Stocks to Buy Right Now. On March 3, 2026, Brookfield Asset Management Ltd. (NYSE:BAM), alongside British Columbia Investment Management (BCI) and Norges Bank Investment Management, launched Northview Energy, a joint venture focused on North American renewable assets. The three partners will equally own […]

Stanford Medicine pediatric hematologist Agnieszka Czechowicz, MD, Ph.D., has devoted her research career to improving treatments for rare blood disorders. She's an expert in Fanconi anemia, a genetic disease that interferes with DNA repair and blood cell production. By age 12, most people with the disease experience a life-threatening complication called bone marrow failure, in which the body's blood-cell factory stops functioning.

Artificial intelligence could make cancer diagnosis safer and fairer by learning when to defer to human pathologists without overloading them, according to researchers from the University of Surrey and Monash University.

A video of Israeli PM Netanyahu has sparked clone theories, with claims of an 'extra finger' suggesting AI manipulation amid the Israel-Iran crisis.

Regenerative agriculture is rapidly gaining attention as a transformative approach capable of addressing some of the most urgent challenges faced by modern farming systems. In a groundbreaking new study published in Nature Food, researchers have demonstrated that regenerative practices not only enhance the productivity and economic sustainability of Australian sheep farms but also substantially reduce […]

Microsoft is rolling out a new artificial intelligence (AI) tool designed to help people manage their health.

The Fox News AI Newsletter covers the latest artificial intelligence technology advancements, including the challenges and opportunities AI presents now and for the future.

Levels of six RNA molecules in the blood ID’d older adults likely to survive two more years. Whether it will work for other people is a big question.

FRIDAY, March 13, 2026 — Microsoft is rolling out a new artificial intelligence (AI) tool designed to help people manage their health.The feature, called Copilot Health, works inside the company’s Copilot app and can provide personalized health adv...

Ultragenyx said its gene therapy candidate for a rare metabolic disease has hit one of two primary endpoints in a late-stage study. The drug is being tested in 37 people with ornithine transcarbamylase deficiency ...

Digital subtraction angiography remains the gold standard for diagnosing cerebrovascular diseases, including intracranial aneurysms, arteriovenous malformations, and arterial stenosis.

A new Tasmanian Institute of Agriculture (TIA) study has found that while regenerative agriculture practices can improve soil health and reduce emissions on sheep farms, farmers often face trade-offs between environmental and economic goals. The article, "Regenerative agriculture improves productivity and profitability while reducing greenhouse gas emissions on Australian sheep farms," has been published in Nature Food.