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Nearly every woman with breast cancer has at least one menopausal symptom.Yet many patients feel their quality-of-life needs frequently go unmet because of safety concerns regarding menopausal hormone therapy (MHT).“I had a patient whose general practitioner told her he wasn’t prepared to lose his 40-year career by prescribing MHT for her,” Sarah Glynne, MBBS, MRCP, MRCGP, MSc, menopause specialist at The Portland Hospital in London, told Healio. “I had a patient whose oncologist told her she can’t take that [expletive] when she asked about MHT. No discussion. No conversation about benefits

Embodying surgical robots with next-gen AI can safely augment practice if ethical and regulatory questions are addressed, say experts writing today in Frontiers in Science.

Mayo Clinic's AI model identifies invisible signs of pancreatic cancer on routine CT scans, potentially transforming early detection and survival rates.

The surgical landscape is on the cusp of a profound transformation, driven by the integration of next-generation artificial intelligence (AI) with robotic systems. A pioneering collective of surgeons and researchers from King’s College London has laid out an ambitious vision that sees AI-augmented surgical robots enhancing the capabilities and precision of operating teams, while reshaping […]

Bernie Sanders says the Trump team is finally recognizing AI risks as adviser suggests FDA-style approval process. Importance Rank:  1 read more

MetHealth CEO Dr Fiona McGillicuddy bagged the runner-up prize. Read more: Tissue repair therapeutic Substrato wins best pitch at 2026 Start-Up Day

Stem cells support tissues by generating a supply of daughter somatic cells to replace losses. A broad body of evidence points to reduced muscle stem cell activity as a major contributing cause of age-related loss of muscle mass and strength. Other evidence suggests that this stem cell population remains capable; when old muscle stem cells are removed from the aged tissue environment for assessment, they appear to be as capable as young muscle stem cells. Researchers are now interested in establishing how an aged environment interacts with muscle stem cells to reduce their activity, with an eye to developing therapies to interfere in specific mechanisms as they are uncovered. Frailty arising from loss of muscle function and mass is a significant health concern impacting quality […]

Ученые представили новый инструмент генного редактирования CRISPR, который после активации буквально разрывает ДНК клетки на фрагменты. В доклинических экспериментах она успешно уничтожала раковые клетки с мутацией KRAS и клетки, зараженные вирусом папилломы человека с эффективностью более 90%.

Adrià Calatayud / Wall Street Journal: Swiss pharmaceutical group Roche agrees to acquire US-based PathAI, which makes AI diagnostic tools, for up to $1.05B, with $750M upfront, closing in H2 2026  —  The pharma giant has agreed to pay $750 million upfront, with up to $300 million in additional payments subject to targets

arXiv:2605.05172v1 Announce Type: new Abstract: Behavior Cloning (BC) has emerged as a highly effective paradigm for robot learning. However, BC lacks a self-guided mechanism for online improvement after demonstrations have been collected. Existing offline-to-online learning methods often cause policies to replace previously learned good actions due to a distribution mismatch between offline data and online learning. In this work, we propose Q2RL, Q-Estimation and Q-Gating from BC for Reinforcement Learning, an algorithm for efficient offline-to-online learning. Our method consists of two parts: (1) Q-Estimation extracts a Q-function from a BC policy using a few interaction steps with the environment, followed by online RL with (2) Q-Gating, which switches between BC and RL policy actions based on their respective Q-values to collect samples for RL policy training. Across manipulation tasks from D4RL and robomimic benchmarks, Q2RL outperforms SOTA offline-to-online learning baselines

arXiv:2605.05032v1 Announce Type: new Abstract: Deploying large artificial intelligence (AI) models in power electronics often demands high computational resources. Driven by the quantization paradigm, this digest proposes a quantization-aware training (QAT) principle to substantially minimize the number of bits required and simultaneously maximize the accuracy of computations in pre-trained AI models. Considering a pre-trained probabilistic Bayesian Neural Network (BNN) for gear fault diagnosis in motor drives as an example, we quantize its weights and activation functions from floating-point FP32 to low-precision INT8 values, which enhances the computational efficiency by a significant margin of 30-45% (for different model versions) without any compromise in the accuracy and uncertainty estimates. This substantiates a sustainable mechanism of deploying most quantized light-weight AI models into low-cost edge processors for power electronic applications.

Embodying surgical robots with next-gen AI can safely augment practice if ethical and regulatory questions are addressed, say experts writing in Frontiers in Science. A team of pioneering surgeons and researchers from King's College London says AI-enhanced surgical robotics could enable "true personalized surgery" and enhance the performance, situational awareness, decision-making, and effectiveness of surgical teams.

By MIKE MAGEE In its final summary of the landmark paper in Nature this past month, the authors led with this statement: “This study underscores the highly personalized nature of thymic healthContinue reading...

Developing AI-guided, patient-operated home ultrasound probes that can produce a reliable medical image. The post Beyond the Clinic: A Blueprint For Developing Reliable, Edge AI-Enabled Medical Devices appeared first on Semiconductor Engineering.

Farah Stockman / New York Times: Bristol Myers Squibb's Massachusetts facility boosted drug production volume for clinical and commercial use by ~40% with AI, a bright spot in US manufacturing  —  A Bristol Myers Squibb plant that makes cancer drugs was the only manufacturer in the U.S. recognized for innovation by the World Economic Forum this year.

Scientists in Sweden have taken a major step toward a potential cure for type 1 diabetes by developing a more reliable way to create insulin-producing cells from human stem cells. These lab-grown cells not only respond strongly to glucose but were also able to restore blood sugar control when transplanted into diabetic mice.

Among the challenges in treating disease, including cancer, is wiping out malignancies, infection, contaminants or other pathologies, without destroying healthy tissue.

RNA-triggered cell killing with CRISPR–Cas12a2  NatureA new kind of CRISPR could treat viral infection and cancer by shredding sick cells' DNA  Phys.orgUSU Biochemists Show CRISPR Can Selectively Destroy Cells, a Cancer-Treatment Goal  Utah State UniversityNext Generation CRISPR Gene Editing Could Help Target Cancer Cells  Inside Precision MedicinePrecision at its Finest: New CRISPR Tool Effortlessly Targets and Removes Undesired Cells  Bioengineer.org

RNA-triggered cell killing with CRISPR–Cas12a2  NatureA new kind of CRISPR could treat viral infection and cancer by shredding sick cells' DNA  Phys.orgUSU Biochemists Show CRISPR Can Selectively Destroy Cells, a Cancer-Treatment Goal  Utah State UniversityNext Generation CRISPR Gene Editing Could Help Target Cancer Cells  Inside Precision MedicinePrecision at its Finest: New CRISPR Tool Effortlessly Targets and Removes Undesired Cells  Bioengineer.org

Payments are "a meaningful recognition of" ranchers' regenerative agriculture transitions in Northern Mexico, says Boomitra CEO. The post Boomitra hits major milestone as ranchers reap real financial gains from regenerative grazing in Mexico appeared first on AgFunderNews.

A groundbreaking advancement in bone marrow transplantation, developed by the Johns Hopkins Kimmel Cancer Center, is offering new hope to patients suffering from sickle cell disease and thalassemia with remarkable success rates, reduced rejection incidences, and promising fertility preservation outcomes. This innovative protocol, characterized by reduced-intensity conditioning and the use of haploidentical donors, is reshaping […]

In a groundbreaking advancement in molecular biology and genetic medicine, researchers at Utah State University, led by Associate Professor Ryan Jackson and doctoral candidate Kadin Crosby, have unveiled compelling new insights into the CRISPR-Cas12a2 system that promise to revolutionize targeted disease treatment. Published on May 6, 2026, in the prestigious journal Nature, this study elucidates […]

In a groundbreaking advance that could redefine cellular engineering and targeted therapies, scientists have unveiled a revolutionary CRISPR-based technology capable of selectively eliminating specific eukaryotic cells by detecting unique RNA signatures. This innovative approach leverages the extraordinary capabilities of the Cas12a2 nuclease, a member of the CRISPR-Cas family, previously understood primarily for its role in […]

A reduced-intensity bone marrow transplant regimen developed by Johns Hopkins physicians provides durable engraftment with low rejection rates and also may preserve fertility, according to results of a new study conducted by Johns Hopkins Kimmel Cancer Center investigators. The work is published in the journal Blood Advances.

A research team led by Prof. Hsing I-Ming, Professor of the Department of Chemical and Biological Engineering (CBE) at The Hong Kong University of Science and Technology (HKUST), in collaboration with Prof. Zhai Yuanliang, Associate Professor of the Division of Life Science (LIFS), has successfully developed the world's first DNA-guided CRISPR-Cas system capable of programmable RNA targeting and cleavage.

More and more patients, instead of going straight to a doctor, first consult a chatbot about their symptoms. Artificial intelligence responds quickly, clearly, and without queues. But are its answers safe for patients?

In a remarkable leap forward in gene editing technology, researchers at The Hong Kong University of Science and Technology (HKUST) have developed the world’s first DNA-guided CRISPR-Cas system capable of programmable RNA recognition and cleavage. This pioneering breakthrough shatters the long-standing dogma in CRISPR biology, which traditionally employed RNA guides to target DNA sequences. By […]

The collective influence on aging of insulin, insulin-like growth factor (IGF-1), growth hormone, and the receptors for these signal molecules is well studied. It is arguably the most well studied area of cellular biochemistry and metabolism in the context of aging, a central set of mechanisms that regulate the evolved trade-off between growth and maintenance, and which is strongly influenced by the equally well studied intervention of calorie restriction. Numerous animal studies have demonstrated that interfering in various specific parts of this collection of signaling processes is capable of at least modestly slowing aging. In the case of the growth hormone receptor, genetic engineering to cause life-long loss of function produced what remain the longest lived mouse lineages to be generated in the laboratory. These […]

Scientists suggest algae could be embedded within biosensors that glow when toxins detected in the environment The captivating blue glow emitted by a sea-dwelling species of algae has been harnessed by scientists in the US to make light-emitting structures. Pyrocystis lunula is a bioluminescent single-celled organism that sometimes produces brief flashes of blue light. Large clumps of the algae are known to emit sparkling displays in waves breaking against beaches. Continue reading...

A Revolutionary CRISPR Technology Unleashes Targeted Cellular Destruction to Combat Cancer and Viral Infections In a remarkable breakthrough poised to shift the paradigms of molecular medicine, researchers have introduced an innovative CRISPR-based system that does not edit genes but instead obliterates cells harboring dangerous mutations or infections. This technology harnesses Cas12a2, a recently identified CRISPR […]

Изученная учеными вариация фермента Cas12a2 не затрагивает здоровые клетки, сообщили в медшколе Университета Юты

Artificial intelligence (AI) is better than humans at emergency triage diagnoses, a study has suggested.Researchers at Harvard University, Massachusetts, said their analysis showed that large language models (LLMs) powered by AI “have eclipsed most benchmarks of clinical reasoning.” But experts, including the researchers themselves, admitted that the AI system would struggle in the real world.Their study, published in the journal Science,1 evaluated how well OpenAI’s o1 series of LLMs could reason medically across six different experiments, including differential diagnoses and clinical reasoning, and then compared them with the way hundreds of human doctors assessed the same problems.The AI model was tested on established clinical vignettes, including New England Journal of Medicine case reports, management challenges, and probabilistic reasoning scenarios. The researchers also carried out a further blinded study using unstructured clinical data from 76 randomly selected emergency room

Since 2020, Australia has had an ongoing shortage of estrogen patches, which are usually prescribed to help ease menopause symptoms.

With cutting-edge sports medicine and sci-fi gadgetry, more and more athletes are figuring out how to extend their careers.

A new kind of CRISPR that destroys cells rather than gene editing them has shown potential for killing sick cells while leaving healthy cells untouched. The technology has largely been tested in cells in a dish, but if it can be applied to organisms, it could be a powerful tool to treat disease and advance research.

AWS customer Proximie delivers AI-driven operating theatre logistics and tele-surgery. We spoke to its engineering vice-president about the challenges of cloud in a life or death environment

Pennsylvania has sued Character.AI after investigators say a chatbot falsely claimed to be a licensed psychiatrist and offered medical guidance to users.

The UK-led OpenBind initiative has reached a major milestone with the release of its first publicly available dataset and predictive AI model, a groundbreaking step toward accelerating the discovery of new medicines using artificial intelligence.

O‘zbekistonda 1-iyuldan boshlab nodavlat tibbiyot tashkilotlari davlat tibbiy sug‘urtasi doirasida budjet hisobidan xizmat ko‘rsata oladi. Shuningdek, akkreditatsiyadan o‘tgan xususiy klinikalarga transplantatsiya amaliyotlarini o‘tkazishga ruxsat beriladi.

Long-lived naked mole-rats are eusocial: like ants and bees, they live in colonies led by a queen that is the only female that reproduces. Naked mole-rats are extremely long-lived in comparison to other similarly sized mammals, and this tendency towards greater longevity shows up in many other eusocial species. It crosses evolutionary clades and ecological niches, which might lead one to ask what exactly it is about eusociality that promotes longevity. Here, researchers offer a hypothesis based on modeling. Animals such as bees, ants, wasps, termites, and naked mole-rats live in colonies in which a single queen is the only female reproductive, an arrangement known as eusociality. Eusocial animals are known for their remarkably long lifespans. It has been argued that longevity becomes selected when […]

With cutting-edge sports medicine and sci-fi gadgetry, more and more athletes are figuring out how to extend their careers.

Quantum Computing Takes a Big Step Toward Faster Drug Discovery Imagine trying to understand how tiny molecules in your body behave; it’s incredibly complex and usually takes a lot of time. Now, scientists are starting to use quantum computers to do this faster and more accurately. This could completely change how new medicines are discovered […] The post Quantum Computing: A Giant Leap For Drug Discovery appeared first on BioTecNika.

Pennsylvania sues Character AI over its chatbot allegedly impersonating a psychiatrist, raising concerns about AI in healthcare and unlicensed medical advice under the Medical Practice Act.

For the first time, a stem cell model has produced a structure resembling an early human embryo with

Todd Feathers / Wired: A medical student reverse-engineered AI tools used by medical colleges on suspicion they were filtering his applications, highlighting AI-driven hiring concerns  —  Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

A short burst of immunotherapy before surgery is delivering surprisingly powerful results for a specific type of colorectal cancer. Patients in a UK-led trial who received just nine weeks of pembrolizumab prior to surgery have remained cancer-free nearly three years later—an outcome that challenges the standard approach of surgery followed by months of chemotherapy.

arXiv:2605.02943v1 Announce Type: new Abstract: Clinical reasoning demands multi-step interactions -- gathering patient history, ordering tests, interpreting results, and making safe treatment decisions -- yet a unified training environment provides the breadth of clinical domains and specialized tools to train generalizable medical AI agents through reinforcement learning remains elusive. We present a comprehensive empirical study of multi-turn agentic RL for medical AI, built on \gym{}, a gymnasium-compatible environment spanning 10 clinical domains with 3.6K+ tasks, 135 domain-specific tools, and a knowledge base of 828K medical passages. Our analysis reveals that agentic multi-turn structure degrades into verbose single-turn monologues, characterized by monotonic length explosion and a simultaneous erosion of tool-use frequency. We characterize how this collapse, alongside distillation instability, stems from the misalignment of sparse terminal rewards with sequential clinical

arXiv:2605.02903v1 Announce Type: new Abstract: In recent years, AI systems in the medical domain have advanced significantly. However, despite outperforming humans, they are rarely used in practice since it is often not clear how they make their decisions. Optimal explanation and visualization of the decision process are often lacking. Therefore, we conducted a comparative user-centric analysis of the latest state-of-the-art textual, visual and multimodal explainable artificial intelligence (XAI) methods for medical image diagnosis. Our survey of 33 physicians showed that 88% agree that it is important that AI explains the diagnosis -- 64% even strongly agree. A combination of bounding box and report is rated better than the other tested XAI methods in the evaluated aspects understandability, completeness, speed, and applicability. We even tested the potential negative impact of false AI-based medical image diagnoses and found that 50% of the participants trusted false AI diagnoses

A judge ruled that a South Carolina inmate who killed a state trooper is incompetent to be executed due to mental illness delusions, citing mental health experts.

JMIR Publications today released a timely new feature in its News and Perspectives section, providing one of the first comprehensive overviews of the rapidly expanding consumer health AI landscape.

Researchers at the University of Toronto's Institute of Biomedical Engineering have developed a new method to mature lab-grown heart cells, so they more closely resemble adult human heart tissue.

The OpenBind Initiative Unveils a Groundbreaking AI-Ready Dataset to Revolutionize Drug Discovery In a landmark development for biomedical research, the UK-led OpenBind initiative has announced the release of its first publicly accessible dataset alongside a novel predictive AI model, marking a pivotal advance in harnessing artificial intelligence to accelerate drug discovery. This achievement underscores the […]

In a groundbreaking study published in Nature Communications, researchers have unveiled a sophisticated methodology that reveals the earliest molecular responses during heart regeneration in zebrafish, utilizing state-of-the-art single-cell RNA metabolic labeling techniques. This pioneering work propels the field of cardiovascular biology forward by unraveling the dynamic transcriptional changes at an unprecedented resolution, offering profound insights […]

State says chatbot claimed to practice medicine, gave invalid license number.

Scientists at the University of Toronto’s Institute of Biomedical Engineering have broken new ground in the field of cardiac tissue engineering by devising a sophisticated method to mature lab-grown heart cells. This development significantly advances the capability to produce in vitro heart cells that closely emulate the structural and functional characteristics of adult human heart […]

Researchers at the University of Toronto's Institute of Biomedical Engineering have developed a new method to mature lab-grown heart cells, so they more closely resemble adult human heart tissue. By optimizing the chemical cocktail in which these cells are grown, the team improved their structure, electrical activity, and ability to contract. This advance could help create more reliable models for studying heart disease and testing new drugs, where current lab-grown cells often fall short due to their immature state.

State investigators found a chatbot that claimed it had a medical license and could write prescriptions.

A new study suggests travel could be a surprisingly powerful anti-aging tool. By viewing tourism through the lens of entropy, researchers found that positive travel experiences may help the body stay balanced and resilient. Activities like exploring new places, staying active, and connecting with others can boost immunity, metabolism, and stress recovery. However, stressful or unsafe travel could reverse these benefits.

Sanford Burnham Prebys Medical Discovery Institute has announced a transformative $5 million endowment from Andrew Viterbi, a pioneering figure in communications technology and co-founder of Qualcomm Inc. This generous gift has established the Andrew and Erna Viterbi Distinguished Chair in the Institute’s Center for Data Science and Artificial Intelligence, positioning the center to accelerate groundbreaking […]

Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference map to date of how fat and muscle are distributed in the human body across age, sex and height.

Pennsylvania has sued the artificial intelligence company behind Character.AI to stop its chatbot from posing as doctors.

According to Pennsylvania's filing, a Character.AI chatbot presented itself as a licensed psychiatrist during a state investigation, and also fabricated a serial number for its state medical license.

Jonathan Stempel / Reuters: Pennsylvania sues Character.AI, alleging that one of its characters posed as a psychiatrist, as the state seeks to prevent chatbots from impersonating doctors  —  Pennsylvania has sued the artificial intelligence company behind Character.AI to stop its chatbot from posing as doctors.

New research suggests caffeine may reshape how cells handle energy, stress, and survival. That morning cup of coffee does more than sharpen your focus. Caffeine, the stimulant found in everything from espresso to energy drinks, interacts with some of the most fundamental systems that keep cells alive and functioning. Scientists have long linked it to [...]

In a groundbreaking study that leverages artificial intelligence and advanced imaging technologies, researchers have unveiled an unprecedentedly detailed atlas of human body composition across age, sex, and height. By analyzing whole-body MRI scans from over 66,000 individuals, this work profoundly advances our understanding of how fat and muscle are distributed in the body, challenging the […]

Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference map to date of how fat and muscle are distributed in the human body across age, sex, and height. The study was published in Radiology. Results of the study show that the quality and amount of skeletal muscle, not just visceral fat, are strong predictors of diabetes, major cardiovascular events, and mortality.

Stuart Orkin and Swee Lay Thein shared a Breakthrough Prize in Life Sciences for their research on genetic causes of sickle cell disease and beta-thalassemia that set the stage for approved gene therapies. The treatments are not accessible to everyone, though

Some varieties of hydra are immortal, in the sense that mortality rate and measures of function do not change over time. A hydra is in essence a sophisticated bundle of stem cells, somewhat analogous to an early embryo, capable of replacing any of its component parts. Are there aspects of hydra cellular biochemistry that could be introduced into more structured, sophisticated species to extend life? One view is that hydra-like strategies for longevity are incompatible with a central nervous system that retains information. Another view is that this point doesn't rule out all of the potentially interesting biochemistry in this species. Certainly, researchers have already started to move genes and other aspects of cellular biochemistry from long-lived species to short-lived species, such as from naked […]

arXiv:2605.01767v1 Announce Type: new Abstract: Regeneration of the nervous system after injury remains an important therapeutic objective, especially in the central nervous system (CNS), in which regeneration is restricted by both neuronal limitations as well as adverse extracellular environments. Conversely, the peripheral nervous system (PNS) displays enhanced regenerative capability in the presence of supportive Schwann cells (SC) and pro-growth stimuli. While the structure and molecular mechanisms are thoroughly understood, functional biomarkers that can non-invasively monitor regeneration in real time are limited. In this review, we discuss the promise of electroencephalography (EEG) as well as electromyography (EMG) as real-time, non-invasive biomarkers to monitor damage to nerves and regeneration in both CNS and PNS contexts. First, we contrast biological and electrophysiological indicators of CNS/PNS injury, showing how EEG signs, including oscillatory power, connectivity,

arXiv:2605.02355v1 Announce Type: new Abstract: Regenerating braking energy is one major pathway to make rail traffic energy-efficient. It is therefore desirable to design timetables that exploit this feature. However, timetables that allow to regenerate energy are often bad for the passengers. We hence formulate and analyze a bicriteria optimization problem (PESP-Passenger-Energy) to find periodic railway timetables that maximize the regenerated energy in terms of the brake-traction overlap time and minimize the travel time of the passengers. Our model extends the Periodic Event Scheduling Problem (PESP) and offers a rich combinatorial theory. We investigate its computational complexity on one-station networks, building on matchings and Hamiltonian paths. Besides showing its NP-hardness even for a single objective, we identify several polynomial-time solvable special cases. Finally, we provide two case studies, underlining the practicability of our model, and analyzing the Pareto

arXiv:2605.02355v1 Announce Type: cross Abstract: Regenerating braking energy is one major pathway to make rail traffic energy-efficient. It is therefore desirable to design timetables that exploit this feature. However, timetables that allow to regenerate energy are often bad for the passengers. We hence formulate and analyze a bicriteria optimization problem (PESP-Passenger-Energy) to find periodic railway timetables that maximize the regenerated energy in terms of the brake-traction overlap time and minimize the travel time of the passengers. Our model extends the Periodic Event Scheduling Problem (PESP) and offers a rich combinatorial theory. We investigate its computational complexity on one-station networks, building on matchings and Hamiltonian paths. Besides showing its NP-hardness even for a single objective, we identify several polynomial-time solvable special cases. Finally, we provide two case studies, underlining the practicability of our model, and analyzing the Pareto

arXiv:2605.02860v1 Announce Type: new Abstract: Cross-language code clone detection (X-CCD) is challenging because semantically equivalent programs written in different languages often share little surface similarity. Although large language models (LLMs) have shown promise for semantic clone detection, their use as black-box systems raises concerns about cost, reproducibility, privacy, and unreliable output formatting. In particular, compact open-source models often struggle to follow reasoning-oriented prompts and to produce outputs that can be consistently mapped to binary clone labels. To address these limitations, we propose a knowledge distillation framework that transfers reasoning capabilities from DeepSeek-R1 into compact open-source student models for X-CCD. Using cross-language code pairs derived from Project CodeNet, we construct reasoning-oriented synthetic training data and fine-tune Phi3 and Qwen-Coder with LoRA adapters. We further introduce response stabilization

AI has aced medical exams, but there's a wide gap between tests and the real world. A new study suggests the divide is closing. The post An AI Just Beat Doctors at Diagnosing ER Patients appeared first on SingularityHub.

Peter Loftus / Wall Street Journal: How AI is transforming the pharma industry, with most gains so far from back-office streamlining and faster manufacturing rather than breakthrough drug research  —  Drug companies like Eli Lilly and Roche are racing to build supercomputers to help fix the 90% failure rate in drug development

AI Detects “Invisible” Signs of Pancreatic Cancer Years Before Diagnosis  SciTechDailyAI finds signs of pancreatic cancer before tumors develop  NBC NewsNew tool can find deadliest cancer years before tumors can be seen on a scan  New York PostMayo Clinic AI helps specialists detect pancreatic cancer up to 3 years before diagnosis in landmark validation study  Mayo Clinic News NetworkAI Can Spot Pancreatic Cancer Years Before Diagnosis, Study Finds  ScienceAlert

AI Detects “Invisible” Signs of Pancreatic Cancer Years Before Diagnosis  SciTechDailyAI finds signs of pancreatic cancer before tumors develop  NBC NewsNew tool can find deadliest cancer years before tumors can be seen on a scan  New York PostMayo Clinic AI helps specialists detect pancreatic cancer up to 3 years before diagnosis in landmark validation study  Mayo Clinic News NetworkAI Can Spot Pancreatic Cancer Years Before Diagnosis, Study Finds  ScienceAlert

Among individuals with aplastic anemia, different blood stem cells in the same person independently acquire gene mutations allowing escape from immune attack, and for some people these “rescuing” stem cell clones are sufficient to restore blood production and enable long-term remission. The post Blood Stem Cells Evade Immune Attack in Aplastic Anemia Through Gene Mutations appeared first on GEN - Genetic Engineering and Biotechnology News.

In the evolving landscape of clinical artificial intelligence (AI), a groundbreaking study has illuminated a subtle yet profound challenge that threatens both the efficacy and equity of AI-driven medical tools. The research, led by Chen, Thakur, Soltan, and colleagues, offers a pioneering solution to mitigate algorithmic unfairness born from the “forgetfulness” of medical records, a […]

The oldest millennials are 45! This tool helps plan for longevity  NPRView Full Coverage on Google News

The oldest millennials are 45! This tool helps plan for longevity  NPRView Full Coverage on Google News

In this , Tilmann Buerckstuemmer, PhD, CSO at Myllia Biotechnology will show how high-throughput pooled CRISPR screening combined with cell painting readouts characterized important signaling pathways using NF-κB nuclear translocation as a case study. The post Optical Pooled CRISPR Screen Reveals Regulators of NF-κB Dynamics in Human Cells appeared first on GEN - Genetic Engineering and Biotechnology News.

Artificial intelligence (AI) is increasingly being explored as a tool to support clinical decision-making, yet its real-world performance in pediatric diagnosis remains unclear.

In a groundbreaking advancement in the field of gene therapy, researchers have demonstrated a significant clinical response following systemic administration of adeno-associated virus (AAV) gene therapy in a large animal model afflicted with late-stage lysosomal storage disease (LSD). This study, recently published in Gene Therapy, sheds new light on the therapeutic potential of AAV vectors […]

Bloomberg: Nearly 20 US state-run health insurance exchanges include ad trackers that send user data like race and citizenship info to companies like Meta, TikTok, Google  —  Nearly all of the 20 state-run health insurance exchanges in the US have added advertising trackers that transmit user activity …

In the coming years, the medical landscape may transform profoundly as patients could find themselves reporting symptoms not to a physician, but to artificial intelligence systems. These digital interfaces will assess urgency and triage cases, deciding who needs immediate medical attention and who can wait for routine care. Although this futuristic scenario remains on the […]

A Hiroshima-University-led research team has discovered a key gene responsible for the initiation of gemma development, acting as a "master switch" to start asexual reproduction (cloning) in the model plant Marchantia polymorpha (common liverwort).

MONDAY, May 4, 2026 — People undergoing transplants do better if their surgeon isn’t forced to multitask during their daily operations, a new study shows.Death rates among transplant patients increase by 15% when surgeons switch between different...

The AI market is full of big promises of grand transformation. Health care is a prime target for those promises, beset as it is by financial pressures, labor shortages, and the growing burden of caring for an aging population. AI developers are targeting functions that vary widely, from curing cancer and performing surgery to streamlining…

Brock E.W. Turner / Axios: Enzo Health, whose AI tools help home health and hospice agencies automate tasks like patient intake and documentation review, raised a $20M Series A led by N47  —  Enzo Health, an AI workflow company for post-acute care, raised a $20 million Series A led by N47, CEO Zach Newman tells Axios Pro exclusively.

Fecal microbiota transplantation is linked to improvements in both motor and non-motor outcomes in Parkinson’s disease, at least in the short term, a new meta-analysis shows.

Researchers at Cedars-Sinai Health Sciences University have discovered that utilizing organs from donors who are hepatitis C virus-positive (HCV+) can greatly shorten wait times for those awaiting pancreas transplants. According to their study published in the American Journal of Transplantation, patients receiving HCV+ organs experienced an average reduction of 117 days in wait time, all while maintaining comparable safety and organ function to those receiving organs from HCV-negative donors.

A survey of more than 600 Canadian physicians finds that virtually all have had to intervene to prevent harm after a patient followed misleading health information online.

Three 2026 Breakthrough Prize winners reflect on developing Luxturna, a gene therapy that treats blindness caused by rare inherited eye diseases

AI Outperforms Doctors in Emergency Triage: Harvard Study Reshapes Medical Diagnosis A groundbreaking study published in the journal Science has sent shockwaves through the medical community: OpenAI's o1 reasoning model correctly diagnosed 67% of emergency room patients, significantly outperforming human doctors who achieved only 50-55% accuracy in the same scenarios. This finding, emerging from research conducted at Harvard Medical School and Boston's Beth Israel Deaconess Medical Center, repre...

Klebsiella infections are common among solid organ transplant recipients older than 50; a history of cardiovascular disease and posttransplant ICU stay ≥ 3 days may each raise this risk.