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Longevity bros aren’t thinking enough about reducing chronic disease. But researchers are  CNN

Longevity bros aren’t thinking enough about reducing chronic disease. But researchers are  CNN

A new pill could soon extend dogs’ lives. How will that change our relationship with our pets?

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What exactly does AI do in this context? Dr. Andrea Mastropietro and Prof. Dr. Jürgen Bajorath from Life Science Informatics at the University of Bonn and the Lamarr Institute for Machine Learning and Artificial Intelligence have published an article in Cell Reports Physical Science on this topic. Below, they answer questions about this method.

US FDA authorizes early access to Revolution's pancreatic cancer pill  ReutersF.D.A. Grants Early Access to Promising Drug for Pancreatic Cancer  The New York TimesFDA green lights early access to pancreatic cancer drug, daraxonrasib  USA TodayGroundbreaking advancements in pancreatic cancer treatment excite UW Health doctor  WKOWFDA expands access to a promising drug for one of the worst cancers  The Washington Post

US FDA authorizes early access to Revolution's pancreatic cancer pill  ReutersF.D.A. Grants Early Access to Promising Drug for Pancreatic Cancer  The New York TimesFDA green lights early access to pancreatic cancer drug, daraxonrasib  USA TodayGroundbreaking advancements in pancreatic cancer treatment excite UW Health doctor  WKOWFDA expands access to a promising drug for one of the worst cancers  The Washington Post

May 2, 2026: Our weekly roundup of the latest science in the news, as well as a few fascinating articles to keep you entertained over the weekend.

ByteDance, the Chinese owner of TikTok, is pushing deeper into artificial intelligence with Anew Labs, a drug-discovery unit that has begun presenting its AI-designed therapies at international conferences. The unit – also known as Anew Therapeutics or ByteDance AI Drug Discovery – operates from Shanghai, Singapore and San Jose, California. Its official website listed 36 core members, as well as big names on its “scientific advisory board”: Liu Yongjun, former president of Innovent Biologics, Ji...

Flinders University experts are warning that artificial intelligence (AI) must be carefully evaluated and governed before it is adopted widely in healthcare, saying rapid advances do not automatically translate into safe use for patients.

In the rapidly advancing landscape of cardiovascular medicine, the future of treating myocardial infarction is being reshaped by groundbreaking developments in spatiotemporal drug delivery systems (DDS). These next-generation platforms transcend traditional responsive carriers, evolving into integrative, multifunctional constructs that meticulously choreograph therapeutic interventions in synchrony with the heart’s complex repair mechanisms. Unlike prior approaches that […]

Years before he conducted the research that would earn him a Nobel Prize in Physiology and Medicine, Shinya Yamanaka, MD, PhD, was a postdoctoral scientist at Gladstone Institutes, studying genes.

Carl Franzen / VentureBeat: xAI launches Grok 4.3, featuring “always-on reasoning”, 1M token context window, and low API pricing, and releases a voice cloning suite called Custom Voices  —  While Elon Musk faces off against his former colleague and OpenAI co-founder Sam Altman in court, Musk's rival firm xAI …

The conflict with destiny represents the unique plot of a journey of no return that Calabria has been facing for years. In times of falling ... Read more L’article Villages of Calabria, regeneration… artisanal. The shops as an alternative to escape est apparu en premier sur Odnako.

While Elon Musk faces off against his former colleague and OpenAI co-founder Sam Altman in court, Musk's rival firm xAI, founded to take on OpenAI, isn't slowing down on launching competitive new products and services. Last night, xAI shipped a new, proprietary base large language model (LLM), Grok 4.3, and a new voice cloning suite on the web. The new products arrive after months of tumult from xAI that saw all of Musk's 10 original co-founders of the lab and dozens more researchers exit the firm and Grok was eclipsed on performance by many new competing LLMs from the likes of OpenAI, Anthropic, Google, and Chinese firms DeepSeek, Moonshot (Kimi), Alibaba (Qwen), z.ai, and others. While Grok 4.3 does mark a significant leap in performance on third-party benchmarks over its direct predecessor Grok 4.2, according to the independent AI model evaluation firm Artificial Analysis, it still remains below the state-of-the-art set by OpenAI and Anthropic's

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

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

A groundbreaking clinical study from a premier single-center institution has brought forth compelling evidence that uterus transplantation can culminate in live births among women suffering from absolute uterine factor infertility (AUFI). This medical frontier opens a promising avenue for women historically denied the ability to conceive and bear children due to congenital or acquired absence […]

In an unprecedented and comprehensive study published in Nature Genetics, researchers at St. Jude Children’s Research Hospital, alongside collaborators worldwide, have unveiled groundbreaking insights into the genetic mechanisms that allow blood stem cells to evade immune destruction in aplastic anemia. This life-threatening disorder, marked by the failure of the bone marrow to produce sufficient blood […]

Aplastic anemia is a rare, life-threatening blood disorder where patients are unable to make enough blood cells due to the immune system's attack on blood stem cells. The condition can progress to myelodysplastic syndrome (MDS) and leukemia.

Explore how creatine supports muscles, brain energy, and healthy aging, with emerging research on its potential longevity support, safety, dosing, and benefits beyond traditional gym use.

It is quite possible that in the near future, people will have to describe their symptoms to an AI before they can get a doctor's appointment. The AI will then decide whether it is an emergency or if treatment can wait, and schedule appointments accordingly.

A Harvard trial found OpenAI’s o1 model beat doctors at emergency triage diagnoses, showcasing AI’s promise as a second-opinion tool in hospitals.

In a landmark advancement that could redefine molecular diagnostics, researchers have unveiled a groundbreaking DNA-guided CRISPR–Cas12a system capable of programmable RNA recognition and cleavage, pushing the boundaries of nucleic acid detection strategies. This innovative platform, termed Specific Locus Evaluation Utilizing Targeted Hydrolysis (SLEUTH), leverages the precision of DNA-guided CRISPR effectors to detect nucleic acid targets […]

In recent years, the potential of artificial intelligence (AI) to transform medicine has grown exponentially, driven by advances in deep learning and large-scale data analysis. One category of AI models, known as Generalist Foundation Models (GFMs), has recently garnered attention due to their ability to handle a wide variety of tasks with remarkable adaptability. GFMs […]

Artificial intelligence (AI) is a strong tool that can help with different needs in an instant, but should AI replace or augment mental health specialists? A Baylor College of Medicine psychiatrist outlines how AI can be detrimental to mental health.

Advances in viral-vector engineering, analytics, and scalable manufacturing are reshaping how adeno-associated viruses enable safer, more accessible gene therapies. The post Smarter AAVs Drive Gene Therapy’s Next Chapter appeared first on GEN - Genetic Engineering and Biotechnology News.

What’s most exciting about CRISPR is its potential to shift medicine from managing disease to directly correcting its root cause. End-to-end pipelines and regulatory advances aim to expand gene editing to broad patient populations. The post Gene Editing at Scale, Clinic Seeks Generalizable Therapies appeared first on GEN - Genetic Engineering and Biotechnology News.

Companies are adopting diverse approaches to reducing unwanted toxicities associated with cell and gene therapy. The post Approaches to Reducing Toxicity and Side Effects in Cell and Gene Therapy appeared first on GEN - Genetic Engineering and Biotechnology News.

arXiv:2604.27937v1 Announce Type: new Abstract: Primates exhibit a robust deviation from canonical allometric scaling: at fixed body mass, their lifespans exceed those of non-primate mammals by factors of two to three. A rhesus macaque (8 kg) lives 25-40 years, whereas a cat of similar mass rarely exceeds 18 years. This statistically significant clade-level excess cannot be explained by standard metabolic or ecological models. We provide a thermodynamic explanation within the Principle of Biological Time Equivalence (PBTE), where lifespan is determined by a finite cycle budget governed by entropy production. We show that primates reduce entropy production per physiological cycle through increased neural energy allocation. The neural power fraction acts as a control parameter, extending the effective lifetime cycle count. Three mechanisms, predictive regulation, enhanced repair, and behavioral buffering, jointly suppress dissipation. This yields a quantitative neuro-metabolic

arXiv:2604.28134v1 Announce Type: new Abstract: We consider the problem of regenerating 3D objects from 2D images and initial 3D shapes. Most 3D generators operate in a one-shot fashion, converting text or images to a 3D object with limited controllability. We introduce instead 3D-ReGen, a 3D regenerator that is conditioned on an initial 3D shape. This conceptually simple formulation allows us to support numerous useful tasks, including 3D enhancement, reconstruction, and editing. 3D-ReGen uses a new conditioning mechanism based on VecSet, which allows the regenerator to update or improve the input geometry with consistent fine-grained details. 3D-ReGen learns a widely applicable regeneration prior from off-the-shelf 3D datasets via self-supervised pretext tasks and augmentations, without additional annotations. We evaluate both the geometric consistency and fine-grained quality of 3D-ReGen, achieving state-of-the-art performance in controllable 3D generation across several tasks.

arXiv:2604.27744v1 Announce Type: new Abstract: AI applications are increasingly being introduced into digital health. While technical performance has advanced rapidly, successful deployment mainly depends on consumer attitudes, especially to patient-facing applications. However, most existing research examines consumer attitudes towards healthcare AI at an abstract level rather than in response to concrete artefacts. We report a mixed-methods survey study in Australia (N=275) examining consumer readiness, acceptance, trust, and risk perceptions of healthcare AI, combined with a scenario-based evaluation of an AI-generated versus clinician-written consultation summary. Participants expressed moderate optimism and strong perceived usefulness and ease of use, but also substantial concerns about accuracy, safety, and data use. In the scenario task, the AI-generated summary was strongly preferred for quality, empathy, and overall usefulness, yet identification of the AI summary was near

arXiv:2604.27607v1 Announce Type: new Abstract: We present JaiTTS-v1.0, a state-of-the-art Thai voice cloning text-to-speech model built through continual training on a large Thai-centric speech corpus. The model architecture is adapted from VoxCPM, a tokenizer-free autoregressive TTS model. JaiTTS-v1.0 directly processes numerals and Thai-English code-switching, which is very common in realistic settings, without explicit text normalization. We test the models on short-duration speech generation and long-duration speech generation, which reflects many real-world use cases. JaiTTS-v1.0 achieves a state-of-the-art CER of 1.94\%, surpassing the human ground truth of 1.98% for short-duration tasks while performing on par with human ground truth for long-duration tasks. In human judgment evaluations, our model wins 283 of 400 pairwise comparisons against commercial flagships, with only 58 losses.

arXiv:2604.27385v1 Announce Type: new Abstract: Robotic-assisted surgery offers significant clinical advantages but largely eliminates direct haptic feedback, increasing the risk of excessive tool-tissue interaction forces. Although recent commercial systems have begun to introduce force feedback, their high cost limits accessibility, particularly for surgical training. This paper presents a modular experimental robotic laparoscopic instrument integrated with a real-time haptic feedback framework. The proposed instrument employs a wrist-mounted force/torque (F/T) sensor to estimate tool-tissue interaction forces while avoiding the durability and integration challenges of tip-mounted sensors. A haptic feedback framework is developed to extract the external contact forces, render them to the haptic device, and generate stable and perceptually meaningful feedback. The instrument is integrated into the robotic surgery training system (RoboScope) and evaluated through a controlled user

Researchers here show that fecal microbiota transplantation from young mice to old mice suppresses age-related increase in MDM2 expression and reduces risk of liver cancer. The balance of microbial populations making up the gut microbiome changes with age in ways that promote chronic inflammation and reduce the production of beneficial metabolites. Fecal microbiota transplantation is one of the few approaches that can make a permanent change to the composition of the gut microbiome, rejuvenating it when the donor is younger than the recipient. Numerous animal studies have shown improved health and extended live to result from this restoration of a youthful gut microbiome, and the work here is another example of the same, focused on the health of the liver. Researchers collected fecal samples from […]

Most of the umbilical cord blood collected at birth is discarded. The tissue is clamped, cut, and disposed of as medical waste, along with the stem cells it contains, cells that are immunologically naive, genetically diverse, and capable of being reprogrammed into virtually any cell type in the human body. The New York Blood Center […] This story continues at The Next Web

Human biologist Gary Brecka says alarming blood work showed UFC CEO Dana White had only about 10 years left to live without major lifestyle changes.

AI Can Spot Pancreatic Cancer Years Before Diagnosis, Study Finds  ScienceAlertMayo Clinic AI helps specialists detect pancreatic cancer up to 3 years before diagnosis in landmark validation study  Mayo Clinic News NetworkAI model bests radiologists at detecting early signs of pancreatic cancer  Radiology BusinessAI model detects normally 'invisible' tissue changes of pancreatic cancer at stage 0  Medical XpressAI Spots Pancreatic Cancer Years Before It Shows Up, Study Finds  Bloomberg.com

AI Can Spot Pancreatic Cancer Years Before Diagnosis, Study Finds  ScienceAlertMayo Clinic AI helps specialists detect pancreatic cancer up to 3 years before diagnosis in landmark validation study  Mayo Clinic News NetworkAI model bests radiologists at detecting early signs of pancreatic cancer  Radiology BusinessAI model detects normally 'invisible' tissue changes of pancreatic cancer at stage 0  Medical XpressAI Spots Pancreatic Cancer Years Before It Shows Up, Study Finds  Bloomberg.com

AgentClinic is a multimodal benchmark that tests clinical AI agents in simulated, dialogue-driven diagnostic settings rather than static medical question-answer formats. The study found that model performance varied sharply by tool use, language, bias, image handling, and patient-agent interactions, highlighting the need for more realistic AI evaluation before clinical deployment.

A new randomized clinical trial provides some of the clearest evidence to date that what we eat can meaningfully reshape both human health and the health of the planet. Researchers have found that a low-fat vegan diet reduced food-related greenhouse gas emissions by 57%—nearly three times more than a Mediterranean diet—while also improving key cardiometabolic outcomes.

Administering melatonin via an absorbable sponge improved the effectiveness of autologous ovarian tissue transplantation. This procedure is used to preserve the fertility of children and adolescents who have undergone cancer treatment, as well as patients with contraindications or insufficient time for hormonal stimulation and egg retrieval.

As the spread of infectious diseases accelerates, technologies that can accurately distinguish multiple viruses in a single test are becoming increasingly important. KAIST and an international research team have developed a new diagnostic technology that simultaneously identifies various viruses and variants by controlling the "speed" of gene scissors.

While large language models can match or exceed emergency physicians in specific contexts, AI can't replace doctors.

In a remarkable leap forward for solar technology, researchers have unveiled a novel approach to enhancing the stability and efficiency of halide perovskite solar cells—a material rapidly emerging as a promising competitor to traditional silicon photovoltaics. Published in the prestigious journal Science, the study details a breakthrough method that accelerates the formation of the coveted […]

Leveraging AI capabilities combined with genetic data led St. Jude Children's Research Hospital investigators to predict new cancer drug targets that carry a limited risk of side effects. For their study, published in Science Advances, St. Jude Children's Research Hospital scientists used a mix of genetic cancer dependency data, artificial intelligence (AI), and naturally occurring mutations to prioritize safer cancer drug targets.

Five novel inhibitors of the MenT3 toxin were identified through a machine learning and simulations pipeline, offering new avenues for tuberculosis treatment.

Advancing fertility preservation methods has immense significance, particularly for children and adolescents undergoing cancer treatments. A groundbreaking study led by Brazilian researchers at the University of São Paulo’s Medical School (FM-USP) presents a novel approach to enhance the success of autologous ovarian tissue transplantation. This method integrates melatonin delivery through an absorbable scaffold sponge, substantially […]

Experimental infections, where a pathogen is introduced into the host body to see its effects in action, are considered the gold standard for assessing how vulnerable a host is, offering clear insights into how a pathogen causes disease and spreads through populations. This approach requires deliberately infecting live animals, which not only raises clear ethical concerns but also often proves impractical for many wildlife species, especially endangered ones, where conservation efforts take precedence. Scientists have found a potential solution to this problem.

JMIR Publications today featured two new stories in its News and Perspectives section, highlighting a shift toward proactive, tech-integrated health monitoring.

When transplant surgeons switched between different organ types in consecutive surgeries, one-year mortality rates in patients increased by 14.8%, according to new Virginia Tech research. The findings suggest that scheduling and workflow changes could help reduce these risks—and the implications may extend beyond medicine.

Researchers say results mark a ‘profound change in technology that will reshape medicine’ From George Clooney in ER to Noah Wyle in The Pitt, emergency department doctors have long been popular heroes. But will it soon be time to hang up the scrubs? A groundbreaking Harvard study has found that AI systems outperformed human doctors in high-pressure emergency medicine triage, diagnosing more accurately in the potentially life and death moments when people are first rushed to hospital. Continue reading...

Flinders University experts are warning that artificial intelligence (AI) must be carefully evaluated and governed before it is adopted widely in health care, saying rapid advances do not automatically translate into safe use for patients.

AI may help doctors avoid missed diagnoses, but it still needs real-world testing and human oversight before it can guide patient care.

A groundbreaking study from Blanch-Asensio et al. introduces STRAIGHT-IN Dual, an innovative genetic engineering platform that significantly enhances the precision and efficiency of programming human induced pluripotent stem cells (hiPSCs) into specific cell lineages. This cutting-edge system leverages a dual single-copy integration method that allows simultaneous insertion of multiple DNA payloads and gene circuits into […]

In a groundbreaking leap toward proactive healthcare, recent advancements in medical technology are reshaping the landscape of disease detection and prevention. Among the most promising developments are innovations that leverage artificial intelligence to extract multifaceted health insights from routine screenings and the miniaturization of complex diagnostic tools into accessible, portable devices. These technological strides herald […]

In a groundbreaking study poised to reshape the landscape of hematologic cancer treatment, researchers have unveiled the distinct biological dynamics and clinical advantages of a novel CAR T-cell product enriched for stem cell memory T cells (T_SCM). Building on years of preclinical success, this first-in-human trial demonstrates that T_SCM-derived CAR T cells not only outpace […]

In a remarkable stride towards understanding adult stem cell biology and regenerative medicine, Shinya Yamanaka, the Nobel laureate renowned for his revolutionary work on induced pluripotent stem (iPS) cells, has revisited a gene he first encountered during his early postdoctoral days. This gene, now identified as eIF4G2, had long eluded detailed investigation due to technological […]

Leronlimab is an antiviral HIV drug that targets and blocks the CCR5 receptor, thus blocking HIV’s ability to invade immune cells. Most macaques that produced sufficient number of antibodies showed long-term partial or full suppression of SHIV. The post Long-Term SHIV Suppression Using AAV Gene Therapy appeared first on GEN - Genetic Engineering and Biotechnology News.

Years before he conducted the research that would earn him a Nobel Prize in Physiology and Medicine, Shinya Yamanaka, MD, Ph.D., was a postdoctoral scientist at Gladstone Institutes, studying genes. There, he helped discover a gene (now called eIF4G2) that's essential for early embryonic development.

Actor Sam Neill says he is cancer-free after five years of living with lymphoma, thanks to a genetic therapy that modified his immune system.

A new perspective published in JAMA challenges the growing narrative that artificial intelligence (AI) is poised to replace physicians, arguing instead that the technology exposes deeper structural failures in modern health care. "This is not really a story about the end of the doctor," says Canio Martinelli, MD, OB/GYN, MSc, and lead author of the article. "It is a story about what kind of doctor, and what kind of medicine, we want to preserve and strengthen."

Good Farmer Award winner Rachel Kulchin discusses her regenerative journey from a backyard garden plot to Blue Heron Farm. The post How a ‘black market CSA’ became a 10-acre regenerative farm building food security in Eastern California appeared first on AgFunderNews.

In the matter of treating aging as a medical condition, emulating centenarians is not good enough; these survivors to advanced old age are still greatly impacted by aging, are frail and vulnerable, with high mortality rates. Nonetheless, the study of centenarian biochemistry might tell us something about which aspects of aging are more or less important than others. For example, see this review of what is known of the immune systems of centenarians. That there are noteworthy differences in immune aging in this population points to the importance of the age-related decline of immune function in degenerative aging, something that should be given significant attention by the research and development communities. Immunosenescence refers to the gradual decline in immune efficacy linked to aging, resulting in […]

The company Seragon funded researchers to run a study of their combination therapy. The results indicate an improvement on the effects of rapamycin treatment in aged mice. Neither Seragon nor the researchers reveal the identity of all of the combination components, but it includes a number of well-known supplements. In general, one should be skeptical regarding any initially published outcomes resulting from this sort of approach to slowing aging, given the evidence for many combinations of molecules that adjust metabolism to interfere with one another's benefits, and the further evidence from the very rigorous Interventions Testing Program showing that many molecules previously thought to slow aging in fact to not slow aging. In defense of Seragon, the researchers did use a relatively large number of […]

In groundbreaking research conducted by Virginia Tech, a startling correlation has been unveiled between the cognitive demands of transplant surgery and patient mortality rates. When transplant surgeons switch between different organ types during consecutive operations, the one-year mortality rate for patients surges by an alarming 14.8 percent. This striking finding emerged from a meticulous analysis […]

The LinkedIn cofounder now has an AI drug discovery startup—and thinks not asking chatbots for medical advice is “bordering on committing malpractice.”

Frank Konkel / Nextgov/FCW: The US FDA launches a pilot using AI and cloud computing to give the agency a “direct data feed” to real-time clinical data, aiming to speed up drug approval  —  The first-of-its-kind pilot could lead to speedier regulatory approval of medical drugs and devices and potentially reduce …

This week we dive into the Beyond Biotech archive to bring you a discussion with Dr Stanley Qi, the founder of Epic Bio. The post How Epic Bio is leveraging CRISPR without cutting DNA appeared first on Labiotech.eu. © Labiotech UG and Labiotech.eu. Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Labiotech UG and Labiotech.eu with appropriate and specific direction to the original content.

In a groundbreaking study that uncovers a novel layer of microbial molecular warfare, researchers have identified an unexpected and sophisticated mechanism by which anti-CRISPR proteins sabotage bacterial immune defenses. Traditionally known for their role in inhibiting CRISPR–Cas systems through direct interference with DNA binding or cleavage, anti-CRISPR proteins now reveal a new frontier: the targeted, […]

arXiv:2604.26498v1 Announce Type: cross Abstract: The rapid growth of molecular foundation models and general-purpose large language models has encouraged a scale-centric view of artificial intelligence in drug discovery, in which larger pretrained models are expected to supersede compact cheminformatics models and task-specific graph neural networks (GNNs). We test this assumption on 22 molecular property and activity endpoints, including public ADMET and Tox21 benchmarks and two internal anti-infective activity datasets. Across 167,056 held-out task--molecule evaluations under structure-similarity-separated five-fold cross-validation (37,756 ADMET, 77,946 Tox21, 49,266 anti-TB and 2,088 antimalaria), classical machine-learning (ML) models such as RF(ECFP4) and ExtraTrees(RDKit descriptors) win ten primary-metric tasks, GNNs such as GIN and Ligandformer win nine, and pretrained molecular sequence models such as MoLFormer and ChemBERTa2 win three. Rule-based SAR reasoning baselines,

arXiv:2604.26782v1 Announce Type: new Abstract: This paper develops a deep policy iteration method for high-dimensional finite-horizon mean-field games. We reformulate the game as a regenerative problem with deterministic cycles, which allows policy evaluation (PE), policy improvement (PI), and population measure estimation to be carried out cycle by cycle. Within this formulation, we approximate the population measure by a particle system and update it using a one-step random mapping induced by the Euler-Maruyama discretization of the state dynamics. This update transports a mini-batch of particles from one cycle to the next, avoiding sequential trajectory simulation over the entire time horizon at each iteration. The PE and PI subproblems are formulated through the relation between consecutive cycles, with adversarial training used for evaluation and averaged optimization used for improvement. The resulting method is efficient and scalable in high dimensions, as it avoids the direct

arXiv:2604.26136v1 Announce Type: cross Abstract: Preserving a speaker's voice identity while generating speech in a different language remains a fundamental challenge in spoken language technology, particularly in specialized domains such as scientific communication. In this paper, we address this challenge through our system submission to the International Conference on Spoken Language Translation (IWSLT 2026), the Cross-Lingual Voice Cloning shared task. First, we evaluate several state-of-the-art voice cloning models for cross-lingual speech generation of scientific texts in Arabic, Chinese, and French. Then, we build voice cloning systems based on the OmniVoice foundation model. We employ data augmentation via multi-model ensemble distillation from the ACL 60/60 corpus. We investigate the effect of using this synthetic data for fine-tuning, demonstrating consistent improvements in intelligibility (WER and CER) across languages while preserving speaker similarity.

arXiv:2604.26782v1 Announce Type: new Abstract: This paper develops a deep policy iteration method for high-dimensional finite-horizon mean-field games. We reformulate the game as a regenerative problem with deterministic cycles, which allows policy evaluation (PE), policy improvement (PI), and population measure estimation to be carried out cycle by cycle. Within this formulation, we approximate the population measure by a particle system and update it using a one-step random mapping induced by the Euler-Maruyama discretization of the state dynamics. This update transports a mini-batch of particles from one cycle to the next, avoiding sequential trajectory simulation over the entire time horizon at each iteration. The PE and PI subproblems are formulated through the relation between consecutive cycles, with adversarial training used for evaluation and averaged optimization used for improvement. The resulting method is efficient and scalable in high dimensions, as it avoids the direct

arXiv:2604.26577v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly considered for deployment as the control component of robotic health attendants, yet their safety in this context remains poorly characterized. We introduce a dataset of 270 harmful instructions spanning nine prohibited behavior categories grounded in the American Medical Association Principles of Medical Ethics, and use it to evaluate 72 LLMs in a simulation environment based on the Robotic Health Attendant framework. The mean violation rate across all models was 54.4\%, with more than half exceeding 50\%, and violation rates varied substantially across behavior categories, with superficially plausible instructions such as device manipulation and emergency delay proving harder to refuse than overtly destructive ones. Model size and release date were the primary determinants of safety performance among open-weight models, and proprietary models were substantially safer than open-weight

arXiv:2604.26498v1 Announce Type: new Abstract: The rapid growth of molecular foundation models and general-purpose large language models has encouraged a scale-centric view of artificial intelligence in drug discovery, in which larger pretrained models are expected to supersede compact cheminformatics models and task-specific graph neural networks (GNNs). We test this assumption on 22 molecular property and activity endpoints, including public ADMET and Tox21 benchmarks and two internal anti-infective activity datasets. Across 167,056 held-out task--molecule evaluations under structure-similarity-separated five-fold cross-validation (37,756 ADMET, 77,946 Tox21, 49,266 anti-TB and 2,088 antimalaria), classical machine-learning (ML) models such as RF(ECFP4) and ExtraTrees(RDKit descriptors) win ten primary-metric tasks, GNNs such as GIN and Ligandformer win nine, and pretrained molecular sequence models such as MoLFormer and ChemBERTa2 win three. Rule-based SAR reasoning baselines,

The body’s “killer” T cells don’t just attack—they strike with astonishing precision, forming a tiny, highly organized contact zone that lets them destroy dangerous cells without harming their neighbors. Now, scientists have captured this process in unprecedented detail, revealing a hidden world of molecular choreography.

Frank Konkel / Nextgov/FCW: FDA launches a pilot using AI and cloud computing to give the agency a “direct data feed” to real-time clinical data, aiming to shorten drug approval timelines  —  The first-of-its-kind pilot could lead to speedier regulatory approval of medical drugs and devices and potentially reduce …

In 2022, at 100, he set what was believed to be a world record in the 100-meter dash at the Penn Relays in Philadelphia, beating 86- and 92-year-old competitors.

Disrupting the eye’s internal limiting membrane enables transplanted stem cell–derived retinal ganglion cells to survive, migrate, and form connections, offering a potential future treatment for optic nerve damage. The post Restoring Vision with Stem Cell–Derived Retinal Cells by Overcoming ILM Barrier appeared first on GEN - Genetic Engineering and Biotechnology News.

New technology enables the insertion of a large segment of DNA into a genome, potentially expanding gene therapy treatment from cancellation of disease-causing mutations to replacement of an entire gene, scientists say.

Lung transplant recipients require intensive, ongoing monitoring after transplant to detect complications such as rejection or infection. Now, in a study published in JHLT Open, Mayo Clinic researchers have found that remote patient monitoring (RPM) is a feasible and effective way to detect early health changes and support care decisions for lung transplant recipients during their first year after discharge from the hospital.

In a groundbreaking initiative poised to redefine the intersection of health and artificial intelligence, the University of Utah, alongside key collaborators including the Huntsman Cancer Institute, has announced a substantial new investment from the state of Utah dedicated to advancing computational and AI-driven health research. This landmark funding, exceeding $33 million, establishes the Utah Health […]

Remote Patient Monitoring Revolutionizes Post-Transplant Care for Lung Recipients: A Groundbreaking Mayo Clinic Study The landscape of post-operative care for lung transplant recipients is undergoing a transformative shift, propelled by cutting-edge advancements in remote patient monitoring (RPM). A landmark study published in the Journal of Heart and Lung Transplantation Open (JHLT Open) by the Mayo […]

In a groundbreaking advancement for oncology and radiology, researchers at the Mayo Clinic have unveiled a next-generation artificial intelligence (AI) model that can detect pancreatic cancer on routine abdominal CT scans long before traditional clinical diagnosis. This model identifies subtle biomarkers and minute changes in pancreatic tissue architecture that are imperceptible to human radiologists, offering […]

In a groundbreaking advancement that promises to redefine the landscape of visual neuroscience, researchers at Johns Hopkins Medicine have uncovered critical insights into the challenges limiting the success of retinal ganglion cell (RGC) transplantation for vision restoration. Their pioneering study elucidates how the internal limiting membrane (ILM)—a delicate, gelatinous barrier at the retina’s innermost layer—acts […]

"The idea was to see whether patterns hidden in that data could help us predict which children might later be diagnosed with ADHD..."

Mayo Clinic announces breakthrough in early cancer detection  kare11.comMayo Clinic AI detects pancreatic cancer up to 3 years before diagnosis in landmark validation study  Mayo Clinic News NetworkAI model detects normally 'invisible' tissue changes of pancreatic cancer at stage 0  Medical XpressAI Spots Pancreatic Cancer Years Before It Shows Up, Study Finds  Bloomberg.comAI detects pancreatic cancer up to 3 years earlier, Mayo study shows  FOX 9 Minneapolis-St. Paul

Mayo Clinic announces breakthrough in early cancer detection  kare11.comMayo Clinic AI detects pancreatic cancer up to 3 years before diagnosis in landmark validation study  Mayo Clinic News NetworkAI model detects normally 'invisible' tissue changes of pancreatic cancer at stage 0  Medical XpressAI Spots Pancreatic Cancer Years Before It Shows Up, Study Finds  Bloomberg.comAI detects pancreatic cancer up to 3 years earlier, Mayo study shows  FOX 9 Minneapolis-St. Paul

Insilico Medicine, a clinical-stage biotechnology company powered by generative artificial intelligence (AI), today announced advancements to its unified AI framework for drug target discovery, integrating its previously introduced Target Identification Pro (TargetPro) and Target Identification Benchmark (TargetBench 1.0) into a validated system designed to improve the accuracy, reliability, and scalability of early-stage drug development.

A first-of-its-kind pilot program in Utah developed by a health-technology startup company uses artificial intelligence to automatically renew certain prescriptions for patients with chronic conditions such as hypertension and diabetes. But according to a new paper co-written by a University of Illinois Urbana-Champaign expert in legal issues surrounding cutting-edge medical technology, autonomous AI-based drug prescribing raises important clinical and legal issues.

In an era of remarkable technological advancement, harnessing machine learning to tackle global health disparities stands as a beacon of hope. A groundbreaking study recently published in Nature introduces a pioneering decision-aware machine learning framework designed to optimize the allocation of essential medicines in low- and middle-income countries. This development promises to redefine how resource […]