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AMD has added Ray Regeneration 1.1 and FSR 4.1 upscaling to its RDNA 4 GPUs, bringing it to parity with Sony's PSSR 2 on the PS5 Pro. Games that support these features will have better ray tracing quality with more accurate shadow detail, while also getting a sharper-looking image through ML-based upscaling.

A groundbreaking study conducted by researchers spanning multiple prestigious institutions has unveiled a novel use of artificial intelligence (AI) to transform the diagnosis and management of advanced heart failure. Traditionally, assessment of this serious condition relies heavily on cardiopulmonary exercise testing (CPET), a resource-intensive and logistically demanding procedure typically confined to specialized medical centers. This […]

In a groundbreaking advancement nestled at the intersection of neonatology and artificial intelligence, researchers have unveiled a novel AI-driven approach to adjudicate hemodynamically significant patent ductus arteriosus (PDA) in extremely premature infants. This pioneering work leverages machine learning algorithms to refine the diagnostic precision and clinical decision-making processes associated with one of the most challenging […]

New research suggests that a single gene may play an outsize role in developing Alzheimer's, which suggests gene therapy for the condition could reach many people.

Could wounded skin someday regrow perfectly without scars? A new study by Harvard stem cell biologists published in Cell reveals a way to fully regenerate skin by unblocking an embryonic healing mechanism that shuts off after birth. Demonstrated on mice, the study suggests a potential means to develop similar therapies in human patients.

Experimenters hope to harness the powerful effects of medications such as Ozempic and Wegovy at doses smaller than those studied most.

Breakthrough Esophagus engineering offers new hope for babies with LGOA. Continue reading Scientists grow functional Esophagus using regenerative tissue on Tech Explorist.

Implementation of a race-neutral eGFR equation contributed to more than 20,000 wait-time modifications and more kidney transplants for Black transplant candidates, according to study data published in JAMA Internal Medicine.Before 2021, Black individuals were assigned higher eGFR values compared with other groups based on results of two major population cohort studies: the 1999 Modification of Diet in Renal Disease study and the 2009 Chronic Kidney Disease Epidemiology Collaborative (CKD-EPI) study, according to Rohan Khazanchi, MD, MPH, a resident in combined internal medicine and pediatrics

New Study Finds One Small Organ May Play Vital Role in Longevity  inc.comThymic health consequences in adults  NatureLong dismissed in adult health, the thymus may be critical for longevity and cancer treatment  Medical XpressThis overlooked organ may be more vital for longevity than scientists realized  Scientific AmericanThymus May Be Critical for Longevity and Cancer Immunotherapy Response  Harvard Medical School

New Study Finds One Small Organ May Play Vital Role in Longevity  inc.comThymic health consequences in adults  NatureLong dismissed in adult health, the thymus may be critical for longevity and cancer treatment  Medical XpressThis overlooked organ may be more vital for longevity than scientists realized  Scientific AmericanThymus May Be Critical for Longevity and Cancer Immunotherapy Response  Harvard Medical School

Artificial intelligence (AI)-based ECG interpretation outperformed standard pathways for the detection of occlusive myocardial infarction (MI), according to a study presented at ESC Acute CardioVascular Care 2026, the annual congress of the Association for Acute CardioVascular Care (ACVC), a branch of the European Society of Cardiology (ESC).

‘Peaky Blinders: The Immortal Man’ Review: Cillian Murphy Returns as Tommy Shelby  The New York Times‘Peaky Blinders: The Immortal Man’ Review: A Gangland Drama’s Nazi Plot  WSJCillian Murphy Reacts to Peaky Blinders: The Immortal Man ’s Ending  YahooIt Was One of My Favorite Shows of the 2010s. Now It’s Back With a Big-Budget Movie.  SlateRaise a Glass to Tommy Shelby for the Launch of Peaky Blinders: The Immortal Man  Netflix

‘Peaky Blinders: The Immortal Man’ Review: Cillian Murphy Returns as Tommy Shelby  The New York Times‘Peaky Blinders: The Immortal Man’ Review: A Gangland Drama’s Nazi Plot  WSJCillian Murphy Reacts to Peaky Blinders: The Immortal Man ’s Ending  YahooIt Was One of My Favorite Shows of the 2010s. Now It’s Back With a Big-Budget Movie.  SlateRaise a Glass to Tommy Shelby for the Launch of Peaky Blinders: The Immortal Man  Netflix

Upcoming spacewalks at the ISS focus on infrastructure upgrades, while AI and augmented reality research enhances medical care in microgravity environments.

Patricia Ford, MD, a leader in bloodless medicine and transfusion-free oncology, discusses her career and how she became the first to perform a bloodless stem cell transplant.

A Stanford study finds AI chatbots sometimes enable violent or self-harm thoughts in rare cases, exposing gaps in crisis response and raising concerns about how safe these tools are for emotional support. The post AI mental health risks exposed as chatbots sometimes enable harm appeared first on Digital Trends.

arXiv:2603.19093v1 Announce Type: new Abstract: Generative AI (GenAI) is increasingly being integrated into the online ecosystem, including online health communities (OHCs), where people with diverse health conditions exchange social support. For example, in OHCs, support providers are beginning to share content generated, directly or indirectly, by popular GenAI-based tools. OHCs are governed by norms that define appropriate behavior when providing support. Ways in which AI-generated support interacts with these norms remain underexplored. Inappropriate conformance or outright violation can erode seekers' trust, distort decision-making, and threaten community sustenance. In this work, we examine whether (and how) AI-generated support conforms to norms, using popular opioid-use recovery subreddits as our testbed. First, we provide an inventory of norms regulating text-based support provision in OHCs. Next, using human-validated LLM judges, we assess the prevalence of AI's conformity

arXiv:2603.18294v1 Announce Type: new Abstract: Background: Clinical trials rely on transparent inclusion criteria to ensure generalizability. In contrast, benchmarks validating health-related large language models (LLMs) rarely characterize the "patient" or "query" populations they contain. Without defined composition, aggregate performance metrics may misrepresent model readiness for clinical use. Methods: We analyzed 18,707 consumer health queries across six public benchmarks using LLMs as automated coding instruments to apply a standardized 16-field taxonomy profiling context, topic, and intent. Results: We identified a structural "validity gap." While benchmarks have evolved from static retrieval to interactive dialogue, clinical composition remains misaligned with real-world needs. Although 42% of the corpus referenced objective data, this was polarized toward wellness-focused wearable signals (17.7%); complex diagnostic inputs remained rare, including laboratory values

arXiv:2603.18130v1 Announce Type: new Abstract: The CARE Workshop on Robotics and AI in Medicine, held on December 1, 2025 in Indianapolis, convened leading researchers, clinicians, industry innovators, and federal stakeholders to shape a national vision for advancing robotics and artificial intelligence in healthcare. The event highlighted the accelerating need for coordinated research efforts that bridge engineering innovation with real clinical priorities, emphasizing safety, reliability, and translational readiness with an emphasis on the use of robotics and AI to achieve this readiness goal. Across keynotes, panels, and breakout sessions, participants underscored critical gaps in data availability, standardized evaluation methods, regulatory pathways, and workforce training that hinder the deployment of intelligent robotic systems in surgical, diagnostic, rehabilitative, and assistive contexts. Discussions emphasized the transformative potential of AI enabled robotics to

arXiv:2603.18078v1 Announce Type: new Abstract: We present the \textbf{Variational Phasor Circuit (VPC)}, a deterministic classical learning architecture operating on the continuous $S^1$ unit circle manifold. Inspired by variational quantum circuits, VPC replaces dense real-valued weight matrices with trainable phase shifts, local unitary mixing, and structured interference in the ambient complex space. This phase-native design provides a unified method for both binary and multi-class classification of spatially distributed signals. A single VPC block supports compact phase-based decision boundaries, while stacked VPC compositions extend the model to deeper circuits through inter-block pull-back normalization. Using synthetic brain-computer interface benchmarks, we show that VPC can decode difficult mental-state classification tasks with competitive accuracy and substantially fewer trainable parameters than standard Euclidean baselines. These results position unit-circle phase

Apple Health integrates with newly announced ‘Perplexity Health’ AI feature  9to5MacPerplexity launches consumer-focused AI health tool  Modern HealthcarePerplexity's new AI health feature includes Apple Health integration nobody should use  AppleInsiderPerplexity Can Now Access Your Apple Health Data to Answer Medical Questions  MacRumorsPerplexity launches Perplexity Health agent in US  TestingCatalog

Apple Health integrates with newly announced ‘Perplexity Health’ AI feature  9to5MacPerplexity launches consumer-focused AI health tool  Modern HealthcarePerplexity's new AI health feature includes Apple Health integration nobody should use  AppleInsiderPerplexity Can Now Access Your Apple Health Data to Answer Medical Questions  MacRumorsPerplexity launches Perplexity Health agent in US  TestingCatalog

A recent analysis assesses whether romiplostim can reduce thrombocytopenia-driven chemotherapy dose reductions, delays, and discontinuations.

Perplexity Health connects your lab results, prescriptions, and wearable data in one place, giving you health answers that are backed by real medical sources. The post Perplexity unveils Perplexity Health, an AI tool to transform your scattered medical data into health insights appeared first on Digital Trends.

Thymus May Be Critical for Longevity and Cancer Immunotherapy Response  Harvard Medical SchoolThymic health consequences in adults  NatureLong dismissed in adult health, the thymus may be critical for longevity and cancer treatment  Medical XpressThis overlooked organ may be more vital for longevity than scientists realized  Scientific AmericanClinical briefs for Thursday, March 19  McKnight's Long-Term Care News

Thymus May Be Critical for Longevity and Cancer Immunotherapy Response  Harvard Medical SchoolThymic health consequences in adults  NatureLong dismissed in adult health, the thymus may be critical for longevity and cancer treatment  Medical XpressThis overlooked organ may be more vital for longevity than scientists realized  Scientific AmericanClinical briefs for Thursday, March 19  McKnight's Long-Term Care News

Animal studies often fail to predict human tissue responses to new drugs or newly developed therapies. Besides generating tremendous costs for clinical studies, it also raises significant ethical concerns. Therefore, novel approaches to mimicking natural human environments like vascular system growth control, are broadly developed to deliver a reproducible model to test novel drugs.

The practice has its benefits. Just not the ones wellness influencers are loudest about.

Researchers at the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) have developed a revolutionary new method to improve compact gene-editing tools known as base editors, which enable smaller, more precise DNA correction tools that may be safer for future gene therapies.

Following yesterday’s Comet iOS browser release, Perplexity is back with another AI announcement: Perplexity Health. The new “suite of connectors” includes integration with Apple Health, Perplexity says. more…

CSL Behring disclosed a "temporary global stockout" of its gene therapy for hemophilia B that it says could delay treatment for some patients. In a letter to the patient community

Washington’s Medicaid program will start paying for a friendly AI-powered robot called ElliQ to keep seniors company and help them stay independent and healthy at home. ElliQ, made by Israel-based startup Intuition Robotics, looks a ...

There’s a moment every psychiatrist recognizes.A patient sits down. You have 20 minutes. But their life is not 20 minutes wide.You hold complexity in your mind and try to make a clean next step, listen for the story under the story, and scan for safety. You notice what’s missing. You decide what to ask next, what not to ask yet, and what to name.Then, weeks later, whatever happened in that room gets flattened into a claim. A CPT code. A diagnosis code. A date. A place of service.And we wonder why the system can’t tell the difference between careful, evidence-informed psychiatry and someone

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A $5 million prize awaits proof that quantum computers can solve health care problems  In a laboratory on the outskirts of Oxford, a quantum computer built from atoms and light awaits…

Would you share your medical records with a personal trainer? How about a virtual one? Google, which this week announced it is giving Fitbit's AI health coach the ability to read your medical records, is hoping the answer is yes, following rivals like Amazon, OpenAI, and Microsoft in betting that users are willing to trade their most sensitive data in exchange for more personalized health advice. Starting next month in preview, US Fitbit users will be able to link their medical records to the Fitbit app. That medical data - such as lab results, medications, and visit history - will, alongside wearable data, help Fitbit's AI-powered health … Read the full story at The Verge.

Finding ways that AI best fits into clinical practice while learning how accurate and useful it can be, especially for patients, could help clinicians trust it more in their daily workflow.“I do think that AI in health care has a long way to go to be trusted by most of us,” James Barry, MD, MBA, neonatologist and professor of pediatrics-neonatology and medical director at University of Colorado Anschutz NICU, said.Amy S. Oxentenko, MD, FACP, FACG, AGAF, gastroenterologist and professor of medicine at Mayo Clinic, agreed.“I think people will trust it more when they see credible leaders who are

I’m standing in front of a quantum computer built out of atoms and light at the UK’s National Quantum Computing Centre on the outskirts of Oxford. On a laboratory table, a complex matrix of mirrors and lenses surrounds a Rubik’s Cube–size cell where 100 cesium atoms are suspended in grid formation by a carefully manipulated…

In a thought-provoking fictional narrative, author Scott Werner explores the emerging profession of Software Mechanics - experts who diagnose and fix problems in AI-generated software systems. The story, set in a post-transition economy where software is generated rather than written, reveals profound insights about the future of software development and maintenance. The Core Problem: When software is generated from natural language specifications, the relationship between intent and execution b...

The standard view of the evolution of aging is that aging exists because natural selection operates more strongly on features of young animals than on features of old animals. A faster time to reproductive success will be selected over a slower time to reproductive success. This leads to the evolution of biological systems that are front-loaded for early efficiency, but that decay to become dysfunctional over time. Aging is near universal but not actually universal, however. For example, varieties of hydra are in fact immortal, exhibiting no loss of function over time. How to explain the existence of the few immortal species in the presently dominant view of the evolution of aging? Here, researchers build a model of the evolution of aging in which a […]

An increasing number of cells in aged tissues enter a senescent state, ceasing replication and generating pro-inflammatory signals that are disruptive to tissue structure and function. In the case of innate immune cells, however, there is some question as to whether they are in fact senescent or just adopting features of senescence, and that leads to debate over whether these cells are in fact harmful. Neutrophils, also known as polymorphonuclear leukocytes, are an important cell type in the innate immune system. Here, researchers show that neutrophils in aged individuals exhibit features of cellular senescence, but stop short of calling them senescent cells. They also show that this behavior is harmful, as it impedes the immune response to infection. Aging drives increased susceptibility to respiratory infections […]

Tamara Djurickovic / Tech.eu: Paris-based Parallel, which develops AI agents for hospitals and is initially focused on medical coding workflows, raised a $20M Series A led by Index Ventures  —  Parallel develops AI agents to automate hospital administrative workflows, improving efficiency and reducing manual work across coding, billing, and operations.

Cycling might be one of the simplest ways for older adults to stay healthier, longer. A 10-year study in Japan found that seniors who rode bicycles had lower risks of needing long-term care and dying—especially those who didn’t drive. Continuing or even starting cycling later in life still delivered noticeable benefits. The results highlight biking as a surprisingly powerful tool for maintaining independence and well-being.

arXiv:2603.17790v1 Announce Type: cross Abstract: Integrating quantum mechanics into drug discovery marks a decisive shift from empirical trial-and-error toward quantitative precision. However, the prohibitive cost of ab initio molecular dynamics has historically forced a compromise between chemical accuracy and computational scalability. This paper identifies the convergence of High-Performance Computing (HPC), Machine Learning (ML), and Quantum Computing (QC) as the definitive solution to this bottleneck. While ML foundation models, such as FeNNix-Bio1, enable quantum-accurate simulations, they remain tethered to the inherent limits of classical data generation. We detail how High-Performance Quantum Computing (HPQC), utilizing hybrid QPU-GPU architectures, will serve as the ultimate accelerator for quantum chemistry data. By leveraging Hilbert space mapping, these systems can achieve true chemical accuracy while bypassing the heuristics of classical approximations. We show how this

arXiv:2603.17790v1 Announce Type: cross Abstract: Integrating quantum mechanics into drug discovery marks a decisive shift from empirical trial-and-error toward quantitative precision. However, the prohibitive cost of ab initio molecular dynamics has historically forced a compromise between chemical accuracy and computational scalability. This paper identifies the convergence of High-Performance Computing (HPC), Machine Learning (ML), and Quantum Computing (QC) as the definitive solution to this bottleneck. While ML foundation models, such as FeNNix-Bio1, enable quantum-accurate simulations, they remain tethered to the inherent limits of classical data generation. We detail how High-Performance Quantum Computing (HPQC), utilizing hybrid QPU-GPU architectures, will serve as the ultimate accelerator for quantum chemistry data. By leveraging Hilbert space mapping, these systems can achieve true chemical accuracy while bypassing the heuristics of classical approximations. We show how this

arXiv:2603.16918v1 Announce Type: new Abstract: The rapid adoption of generative AI (GenAI) chatbots has reshaped access to sexual and reproductive health (SRH) information, particularly following the overturning of Roe v. Wade, as individuals assigned female at birth increasingly turn to online sources. However, existing research remains largely model-centered, paying limited attention to user privacy and safety. We conducted semi-structured interviews with 18 U.S.-based participants from both restrictive and non-restrictive states who had used GenAI chatbots to seek SRH information. Adoption was influenced by perceived utility, usability, credibility, accessibility, and anthropomorphism, and many participants disclosed sensitive personal SRH details. Participants identified multiple privacy risks, including excessive data collection, government surveillance, profiling, model training, and data commodification. While most participants accepted these risks in exchange for perceived

Статья на конкурс «Био/Мол/Текст»: Как человек запоминает важные встречи, лица и детали, так и бактерии хранят «память» о своих самых опасных врагах. Такой памятью служит система CRISPR-Cas, фиксирующая следы прошлых атак бактериофагов. Анализируя эти генетические «воспоминания», можно восстановить историю взаимодействий бактерии с фагами и понять, какие из них представляли для нее наибольшую угрозу. В этой статье мы расскажем о том, как по структуре CRISPR-Cas систем бактерии Clostridium botulinum можно реконструировать ее фаговое прошлое и почему это знание важно для развития более точных и безопасных подходов к фаготерапии в эпоху снижающейся эффективности

In a groundbreaking advance that could revolutionize treatments for age-related visual impairments, a team of researchers has demonstrated that targeting senescent cells in the retina can restore visual function. This pioneering study, recently published in Nature Communications, unveiled a novel senotherapeutic approach focused on the protein Bst2, which plays a pivotal role in the survival […]

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.