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Dr. Alex Aliper, Co-founder and President of Insilico Medicine, will attend the AI for Good Global Summit 2026 in Geneva, Switzerland, on July 7.

Polling shows that the public supports this new technology, but the conversation must move beyond simple questions of safety Ever since Crispr-Cas9 gene-editing technology emerged in the early 2010s, ethical questions around genetically altered humans, so-called designer babies, have become increasingly urgent. There is already a worldwide legal prohibition. No country currently allows human germline editing (meaning genetic changes to an embryo that could also be passed on to its children), and 70 have laws against it, including the UK. But a series of recent discoveries and a new poll suggest that scientists and the public believe gene-edited humans are likely – even desirable – in the near future. Two new studies use base editing – a more precise next-generation Crispr tool – on human embryos to study early development or disease (this research is legal in the UK and US as long as the embryos are destroyed within 14 days). The lead author of one study, Dieter Egli, said that

Tropical moist forests represent a monumental reservoir of global living biomass, accounting for approximately 70% of it, and serve as some of Earth’s most crucial carbon sinks. Despite their vital role, the precise mechanics of carbon fluxes following forest disturbances such as degradation and subsequent regeneration have long been mired in uncertainty. Recent advancements in […]

In the relentless pursuit of personalized cancer treatment, a groundbreaking artificial intelligence (AI) model named COMPASS is setting a new standard in predicting patient responses to immune checkpoint inhibitors (ICIs), a revolutionary class of cancer immunotherapy drugs. Developed by a team of researchers at Harvard Medical School led by Associate Professor Marinka Zitnik, COMPASS harnesses […]

In a study published in Science Translational Medicine, a team of researchers led by Dr. Wang Yu from the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences developed PRINCE and Little Prince, dual small-molecule-controlled genome editing systems that allow CRISPR activity to be switched on by drug inducers and kept largely silent in their absence.

It’s not easy to transplant a whole human eye. The surgery is difficult. And the eyes themselves start to degenerate as soon as they’ve left the body. When surgeons attempted it a few years ago, the newly-transplanted eye wasn’t able to see. But researchers believe they might have a solution: a device that maintains and…

Primary bone tumors, such as osteosarcoma, have seen stagnant survival rates over the past four decades. Surgical removal of the tumor is critical, but local recurrence may occur when tumours are close to vital structures, often resulting in amputation

Financial Times: An interview with Sriram Krishnan, who says “there will not be an FDA for AI” under Trump, blames the AI backlash on the industry's “doomer” messaging, and more  —  Sriram Krishnan tells the FT the president is against government intervention as AI backlash grows

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others. But these drugs work for only a subset of patients, with few indications why—a knowledge gap that has detrimental effects on patient prognosis, clinical trial recruitment and research that could lead to new therapies.

Researchers have spent decades—and billions of dollars—sequencing animal and crop genomes, but fungi have historically been the forgotten middle child of genomics, only noticed when they're ruining bread or colonizing toes.

If used sensibly, models of aging can offer some insight into the bounds of the possible with regard to which classes of biological mechanism are more or less important in determining pace of aging, onset of disease, and life span. Researchers here use a specific type of model, the saturating removal model of damage accumulation, and tinker with the parameters to see which of the processes represented by those parameters best predict the observed range of life spans across species. Perhaps the most interesting outcome is that mice and humans end up in different broad buckets in terms of categorizing how mechanisms of aging interact; this is far from the only study to suggest that this is the case. The saturating removal (SR) model was […]

arXiv:2607.01253v1 Announce Type: new Abstract: Rationale. The diagnostic radiologist's role in 2035 will not look like it does today. Imaging AI is already changing how worklists are organized, how reports are generated, and which cases require a radiologist's attention. What remains genuinely contested is not whether the role changes but how. Approach. Three subject-matter experts (two radiologists and one health tech professional with more than 20 years of experience in medical imaging IT) independently authored 2035 job descriptions for the diagnostic radiologist using a shared template. Each author wrote from a distinct vantage point: one optimistic, one framed as a trade-off view incorporating workforce economics, and one structured around professional stratification. The three versions were published openly and subjected to a structured comparison across seven dimensions. Key findings. The three versions agree on direction but disagree on magnitude. All three describe a

Researchers have spent decades-and billions of dollars-sequencing animal and crop genomes, but fungi have historically been the forgotten middle child of genomics, only noticed when they're ruining bread or colonizing toes.

New research published June 27 found aging-activated stem cells drive middle-age belly fat accumulation. The same visceral fat is linked to heart disease and Alzheimer's risk.

A massive national study found that nearly half of Americans with kidney failure who are referred for a transplant never even begin the evaluation process, and only 19% make it onto the transplant waitlist. Researchers discovered that factors such as where a person lives, whether they are married, their income level, language, age, and even which transplant center they use can dramatically affect their chances of moving forward.

STANFORD, Calif. — Stanford researcher Ellen Kuhl estimates that there are some 1043 potential burger recipes in the world. And with BurgerAI, a new tool developed in her lab, artificial intelligence can now design the best one for you based on your age, taste, nutritional need, and even your sustainability goal. But BurgerAI’s ability to suggest a […] The post AI Designs the Ideal Burger for Taste, Health, and Planet appeared first on Morning Ag Clips.

Researchers at National Institute of Advanced Industrial Science and Technology (AIST), in collaboration with researchers from The University of Electro-Communications (UEC) and Akita Prefectural University, have discovered a new insect pathogen that invades the gut symbiotic organ of stink bugs by mimicking their symbiotic microorganism, ultimately killing the host bugs.

Using techniques including spatial transcriptomics, researchers identified a developmental axis that helps organize developing kidney nephrons, and engineered Wnt-secreting “synthetic organizer” cells to recreate aspects of this developmental environment in organoids created from stem cells. The post Synthetic Organizers Aid Creation of Reproducible Kidney Organoids from Stem Cells appeared first on GEN - Genetic Engineering and Biotechnology News.

A mechanosensitive ion channel regulates liver cell proliferation after injury

In a study published in Science, USC researchers paired a biological discovery with an engineering feat to create more faithful, reproducible lab-grown kidney structures from stem cells, known as organoids.

Insilico Medicine, a leader in clinical-stage generative AI for drug discovery, today announced a strategic collaboration agreement with Takeda to use its proprietary end-to-end platform, Pharma.AI, to advance drug candidates across the company's therapeutic areas.

Psychological stress is increasingly recognized as a risk factor for certain health conditions, including cardiovascular disease and diabetes, especially when paired with an impaired immune response. In a study in Cell Stem Cell, researchers describe a mechanism in mice that explains this association: Psychological stress speeds aging-like changes in the body's blood-forming stem cells in the bone marrow—called hematopoietic stem cells—by altering the intestinal microbiota.

Nutritional imbalance during pregnancy can have long-lasting effects on the health and disease susceptibility of offspring. As such, high fructose intake through sweetened food and beverages in pregnant women has been associated with increased susceptibility to diabetes and cardiovascular disease, as well as neurological and cognitive impairments in offspring. Currently, it is not well understood how early-life exposure to fructose has such long-lasting effects at the cellular and molecular levels.

12 million missed diagnoses per year, 40,000–80,000 preventable deaths. AI is helping most in imaging. Here's where the evidence supports AI diagnostic assistance — and where it doesn't.

Quibim, a global leader in precision imaging and artificial intelligence (AI) solutions, today announces the European and UK launch of QP-Breast®, its CE and UKCA-marked AI tool - the first in Europe and the United Kingdom to detect breast cancer using magnetic resonance imaging - which automatically identifies suspected lesions on breast MRI.

Riding a wave of booming cross-border dealmaking, China’s AI-driven drug-design firms are charging onto the global stage despite Washington’s growing scrutiny of Chinese biotech firms. The value of out-licensing deals struck by Chinese biotech companies with top global multinational pharmaceutical companies climbed to US$75 billion in the first five months of 2026, up from zero before 2020, according to Linda Shu, head of China healthcare research at HSBC. In total, over the five months, these...

Leading scholarly publisher and innovative technology provider Pensoft has embarked on a pioneering venture by launching the Journal of Regeneration (JoR), an open-access, peer-reviewed publication designed to bring forth a holistic and multidisciplinary perspective on regenerative biology. This ambitious new journal aims to unify science across a remarkable breadth of life forms—from plants to animals—and […]

Sadly, we live in an age in which the media likes to generate conflict, and in which the role of personal responsibility in most aspects of life (and certainly in the matter of medicine) is denigrated. It is a culture that rejects risks, costs, and benefits that cannot be quantified easily, and demands a centralized, legalistic approach as to who is and is not permitted to take those risks. On the other side of the fence, those taking the risk of trying new therapies that are not fully understood are in all too many cases doing it without sufficient forethought and planning. Too many people take wishful thinking and popularist rhetoric as fact. They don't want to understand the details, and look for quick, certain […]

Hematopoietic cell populations reside in the bone marrow. A tree of ever more specialized progenitor cell populations descends from the root hematopoietic stem cell population, responsible for ultimately producing red blood cells and white blood cells. Hematopoietic stem cell populations are known to become damaged and dysfunction with age, and this is one of the contributions to immune system dysfunction in later life. It also produces effects such as platelets that are more prone to causing inappropriate clotting and thrombosis. Here, researchers provide evidence to suggest that the intermediate hematopoietic progenitor cell populations are much less impacted by aging than is the case for hematopoietic stem cells, and might be buffering the loss of stem cell function to allow for maintained hematopoietic function. It is […]

By Kat Belt Vinmec’s latest milestones suggest Vietnam is no longer simply catching up in robotic surgery.  On

arXiv:2607.00262v1 Announce Type: new Abstract: Multi-level selection and senescence do not at first sight have much in common. Here, we demonstrate that the emergent mortality patterns generated by demographic senescence can be understood as the product of multi-level selection. We formulate a two-level Moran type process and use its scaling limits to illustrate that a simple mathematical framework that models multi-level selection in group-structured populations also models damage accumulation patterns and resultant mortality curves in ageing organisms. To verbally make the connection, observe that defectors spread within a group consisting of cooperators and defectors; when groups compete against each other, defector-rich groups suffer, and between-group selection causes such groups to be systematically under-represented. Exactly analogously, senescing individuals accumulate damage to physiological sub-systems, and `damage begets damage'; individuals who are more damaged are more

arXiv:2607.00262v1 Announce Type: cross Abstract: Multi-level selection and senescence do not at first sight have much in common. Here, we demonstrate that the emergent mortality patterns generated by demographic senescence can be understood as the product of multi-level selection. We formulate a two-level Moran type process and use its scaling limits to illustrate that a simple mathematical framework that models multi-level selection in group-structured populations also models damage accumulation patterns and resultant mortality curves in ageing organisms. To verbally make the connection, observe that defectors spread within a group consisting of cooperators and defectors; when groups compete against each other, defector-rich groups suffer, and between-group selection causes such groups to be systematically under-represented. Exactly analogously, senescing individuals accumulate damage to physiological sub-systems, and `damage begets damage'; individuals who are more damaged are more

arXiv:2607.00262v1 Announce Type: cross Abstract: Multi-level selection and senescence do not at first sight have much in common. Here, we demonstrate that the emergent mortality patterns generated by demographic senescence can be understood as the product of multi-level selection. We formulate a two-level Moran type process and use its scaling limits to illustrate that a simple mathematical framework that models multi-level selection in group-structured populations also models damage accumulation patterns and resultant mortality curves in ageing organisms. To verbally make the connection, observe that defectors spread within a group consisting of cooperators and defectors; when groups compete against each other, defector-rich groups suffer, and between-group selection causes such groups to be systematically under-represented. Exactly analogously, senescing individuals accumulate damage to physiological sub-systems, and `damage begets damage'; individuals who are more damaged are more

arXiv:2607.00823v1 Announce Type: new Abstract: Developmental robustness is framed as progress through a fixed Waddington-type landscape. We argue that in morphogenesis this landscape evolves through coupled bio-signaling, mechanical, and physiological processes, while fluctuations aid exploration. In Hydra regeneration, stochastic Ca activity plays a major role in reshaping the landscape of accessible morphologies as regeneration unfolds, including the early progressive confinement of tissue fluctuations. We propose testing this framework of dynamical noisy canalization in developmental systems.

arXiv:2607.01103v1 Announce Type: new Abstract: Open-response evaluation provides stronger clinical validity than multiple-choice benchmarks but creates a scoring bottleneck that motivates automated LLM-asa-Judge approaches. Whether such evaluators replicate clinical calibration and caution, however, remains untested. We introduce MedQADE, the first standardised open-response clinical benchmark for German, a major clinical language lacking native evaluation infrastructure, comprising 3,800 items annotated by ten practising physicians and nine Large Language Model (LLM) evaluators. The top-performing evaluator model, Gemini 3 Flash, reached alignment consistent with the physician ceiling (\k{appa} = 0.694 vs. \k{appa} = 0.709), though wide confidence intervals limit interpretation. Despite this statistical alignment, automated evaluators exhibited near-absent clinical metacognition: physicians scaled abstention with item difficulty, while frontier models assigned definitive scores in

arXiv:2607.00931v1 Announce Type: new Abstract: Predicting cancer drug response from transcriptomic profiles is a cornerstone of precision oncology, yet the scientific value of machine learning models hinges not solely on predictive accuracy, but also on their capacity to generate reliable biological insights. Current explainability approaches in this setting are computationally costly, lack robustness, and reduce complex drug response to univariate gene importance scores, overlooking the coordinated gene activity that drives sensitivity and resistance. In this work, we present ILLUME+, a scalable post-hoc explainability framework that moves beyond single-gene assessments to capture multiple, complementary forms of explanation. Integrated into our end-to-end pipeline, ILLUME+ produces more stable gene importance scores than existing baselines, recovers established drug-gene associations and mechanisms of action, and enables AI-assisted hypothesis generation to uncover novel

When a patient needs a stem cell transplant, finding a registered donor is only the first step. Some potential donors drop out before confirmatory typing, reducing the pool from which doctors can choose.

In a groundbreaking discovery poised to reshape our understanding of immune function during chronic diseases, researchers at Memorial Sloan Kettering Cancer Center (MSK) and Weill Cornell Medicine have uncovered the pivotal role of a rare subset of T cells in sustaining the immune response. These cells, termed stem T cells, are now identified as the […]

The FDA has approved an allogeneic regulatory T cell immunotherapy for use in matched-donor hematopoietic stem cell transplantation in patients with blood cancers, to improve survival for chronic graft-versus-host disease.According to the manufacturer, this newly approved therapy (Tregzi, Orca Bio) is a “personalized treatment manufactured for each individual patient using living cells from a matched donor.” The immunotherapy combines hematopoietic stem and progenitor cells with T cells-vldq and used alongside a myeloablative preparative regimen to support hematopoietic and immune system

T cells are an elite fighting force of the immune system, seeking out and destroying diseased cells. But in a prolonged campaign against a chronic condition - like a viral infection, or cancer - the body needs a steady supply of these killer troops.

In a groundbreaking advancement poised to revolutionize stem cell research and biomanufacturing, a team of scientists has unveiled a novel protocol that enables the direct inoculation of bioreactor-controlled stirred suspension cultures using cryopreserved human pluripotent stem cells (hPSCs). This cutting-edge methodology circumvents the conventional bottlenecks historically associated with thawing, expansion, and adaptation phases, heralding a […]

T cells are an elite fighting force of the immune system, seeking out and destroying diseased cells. But in a prolonged campaign against a chronic condition—like a viral infection or cancer—the body needs a steady supply of these killer troops. Where and how these killer troops are generated has been a mystery.

Genes produce proteins at a pace determined by epigenetic control over nuclear DNA structure. That epigenetic control changes with age for reasons that are incompletely understood. A promising possibility is that repeated activation of DNA repair processes depletes specific factors needed for maintenance of DNA structure, but that needs further confirmation. The pace of protein production changes in a characteristic way with age for countless different proteins. Of that large number, some are known to cause harm, and are associated with aspects of degenerative aging. These are potential targets for gene therapies; I listed a large number of them some years ago, and that set has only grown since then. Gene therapy technology has existed for decades, but is not yet very broadly used. A […]

When a patient needs a stem cell transplant, finding a registered donor is only the first step. Some potential donors drop out before confirmatory typing, reducing the pool from which doctors can choose. Researchers from Osaka University and collaborators tested whether a small change in wording could help more donors continue. This study is published in the Journal of Economic Behavior & Organization.

Successfully treating Baby KJ with a personalized CRISPR gene-editing therapy is spurring the industry to investigate how to develop standardized manufacturing platforms as well as how individualized gene-editing products will be regulated. The post Standardizing Personalized CRISPR Gene-Editing Therapies appeared first on GEN - Genetic Engineering and Biotechnology News.

A wild mouse with an unusually long life may reveal clues to healthy aging. Aging is often treated as an unavoidable biological process, but evolution tells a more complicated story. Across the animal kingdom, species age at dramatically different rates, with some rapidly declining after reaching adulthood while others remain healthy and active for years [...]

In a groundbreaking advance poised to transform the field of regenerative medicine, researchers have engineered a novel type of bilayer membrane designed specifically for enhanced bone repair—a development that could redefine therapeutic strategies for complex fractures and bone defects. The study, spearheaded by Du, Y., Nie, Y., Luo, Z., and colleagues, presents a pioneering biomaterial […]

The FDA gave the go-ahead to Orca Bio’s T cell therapy that would reduce transplant-related complications for blood cancer patients. The therapy will be branded as Tregzi, an homage to the regulatory T cells, or ...

As previewed, Google Health now offers a command-line interface (CLI) that allows users to access their data and build tools like dashboards.

Meta says it can turn brain activity into typed sentences without opening your skull. The leap is real. So is the catch: the system learns from typing, the one thing its intended users cannot do. On Monday, Meta unveiled the second version of Brain2Qwerty, a system that reads the brain signals people produce while typing […] This story continues at The Next Web

In the ever-evolving landscape of genomics and stem cell biology, the recent publication in Nature Biotechnology heralds a transformative leap forward in our understanding of human pluripotency. Employing an unprecedented scale of CRISPR interference (CRISPRi) perturbations combined with single-cell transcriptomics, researchers have constructed a comprehensive cell atlas mapping gene function across the human induced pluripotent […]

In a groundbreaking study published in the British Journal of Cancer, researchers have unveiled critical insights into cancer-related mortality following solid organ transplantation in England. This pioneering work, known as the EpCOT study, investigates the incidence and underlying causes of de novo cancer mortality in transplant recipients, shedding light on a hitherto underappreciated dimension of […]

Senile lentigo, an age spot, is a form of photoaging in response to UV exposure featuring a darkening of the skin. An increased burden of cellular senescence is thought to play an important role in photoaging more generally, and here researchers show that age spots contain an increased number of senescent cells. It is likely that these senescent cells are an important driver of the altered structure of skin and altered behavior of skin cells in an age spot. It is also likely that intermittent use of senolytic drugs will slow skin aging and even improve function in already aged skin, based on research conducted to date, but there is surprisingly little published human data on this front despite a number of companies offering plausibly […]

arXiv:2606.30923v1 Announce Type: cross Abstract: Imitation Learning is a natural framework for learning in sequential decision-making systems and has emerged as the dominant paradigm through which we understand language model training. A central puzzle is that, while in theory offline IL can be horizon-free and optimal, in practice online methods such as on-policy distillation often outperform offline methods such as supervised fine-tuning. We propose a noisy expert model to explain this gap, in which the learner only has access to a noisy version of the expert's policy, but wishes to compete against the reward achieved by a clean expert, motivated by the fact that in many applications, e.g. training language models to perform long chains of thought, the expert is often imperfect. In this setting, we show a sharp separation between offline and online IL. Offline learning from noisy trajectories is fundamentally hard: to compete with the clean expert, the sample complexity must grow

arXiv:2606.30866v1 Announce Type: new Abstract: We prove a version of the Dvoretzky-Kiefer-Wolfowitz inequality for Markov chains with a regenerative structure. Suppose we have a regenerative Markov chain with stationary distribution $\pi$. Given a functional $\theta$ on the state space and a confidence level $1-\delta$, our result provides a uniform $1-\delta$ confidence band for the CDF of $\theta$ under $\pi$ based on the empirical CDF. By inversion, we get a $1-\delta$ confidence band for the quantile function of $\theta$ under $\pi$. Our bounds are fully explicit and nearly optimal. In addition, they are data-dependent in the following sense: in the formula for the width of the confidence band, the leading term can be computed directly from the sample path without any a priori information about the convergence rate of the chain. A convergence bound is required, but it contributes to the width of the confidence band only through a lower-order term. For this reason, our result is

arXiv:2606.30866v1 Announce Type: new Abstract: We prove a version of the Dvoretzky-Kiefer-Wolfowitz inequality for Markov chains with a regenerative structure. Suppose we have a regenerative Markov chain with stationary distribution $\pi$. Given a functional $\theta$ on the state space and a confidence level $1-\delta$, our result provides a uniform $1-\delta$ confidence band for the CDF of $\theta$ under $\pi$ based on the empirical CDF. By inversion, we get a $1-\delta$ confidence band for the quantile function of $\theta$ under $\pi$. Our bounds are fully explicit and nearly optimal. In addition, they are data-dependent in the following sense: in the formula for the width of the confidence band, the leading term can be computed directly from the sample path without any a priori information about the convergence rate of the chain. A convergence bound is required, but it contributes to the width of the confidence band only through a lower-order term. For this reason, our result is

In emergency departments across the country, AI is quietly joining the diagnostic process.

arXiv:2606.32014v1 Announce Type: new Abstract: Internet users collectively perform an enormous range of skilled work through web browsers, from software development and document editing to search, forms, and enterprise workflows, making human browsing a highly scalable but under-exploited source of reusable browser skills. We argue that the bottleneck for browser agents is decision-making under incomplete information rather than low-level operation, and that the priors agents lack are already implicit in human interaction traces. We therefore study scalable behavior cloning for browser agents via skill distillation, converting user interaction trajectories into compact natural-language skills that agents can read, retrieve, reuse, and compose directly. We further organize the distilled skills into a skill graph so that growth proceeds through consolidation rather than unbounded accumulation. This suggests that the scalability of browser agents may come less from manually designed

arXiv:2606.31991v1 Announce Type: new Abstract: The tendency of large generative models to memorize training data makes sample verification critical for privacy auditing and copyright enforcement. Current membership (MIA) and dataset inference (DI) attacks often rely on one-shot generations, which yield weak signals and limited sensitivity across modalities. Inspired by Model Autophagy Disorder (MAD), we introduce MADreMIA, a model-agnostic framework that enhances white-, gray-, and black-box MIA and DI. Rather than relying on shadow model training -- often infeasible for large generative models -- our framework facilitates scalable inference by leveraging inherent signals through iterative trajectories. This process utilizes chained generations across diverse modalities, where each output serves as the subsequent input, to improve membership evidence at low FPR. We demonstrate that memorized training samples exhibit significantly higher coherence and slower degradation during

arXiv:2606.31603v1 Announce Type: new Abstract: Semantic segmentation models struggle with data sparsity and rare or visually diverse regions, e.g., dense regions or small objects in aerial or autonomous mobility data. While synthetic augmentation is an appealing solution, directly generating new labeled data risks misalignment of labels and generated pixels. Existing solutions to this problem often rely on external models, or employ coarse heuristics such as indiscriminately augmenting all foreground objects or entire backgrounds, which wastes capacity on uninformative pixels. To address this, we propose an uncertainty-guided synthetic context augmentation strategy that strictly preserves label validity and efficiently maximizes pixel informativeness per synthetic sample - no external guardrails required. Using a baseline segmenter's predictive entropy, we identify uncertain semantic regions and inpaint only the complementary visual context. When fine-tuning the segmenter on this

arXiv:2606.30923v1 Announce Type: new Abstract: Imitation Learning is a natural framework for learning in sequential decision-making systems and has emerged as the dominant paradigm through which we understand language model training. A central puzzle is that, while in theory offline IL can be horizon-free and optimal, in practice online methods such as on-policy distillation often outperform offline methods such as supervised fine-tuning. We propose a noisy expert model to explain this gap, in which the learner only has access to a noisy version of the expert's policy, but wishes to compete against the reward achieved by a clean expert, motivated by the fact that in many applications, e.g. training language models to perform long chains of thought, the expert is often imperfect. In this setting, we show a sharp separation between offline and online IL. Offline learning from noisy trajectories is fundamentally hard: to compete with the clean expert, the sample complexity must grow

arXiv:2606.30828v1 Announce Type: new Abstract: While there's optimism around medical AI tools due to their abilities to adapt from user-to-user and across environments, these new abilities complicate how people and organizations are able to predict and manage risk based on existing laws and regulations. Lawyers are trained to identify potential legal outcomes, but they lack technical AI knowledge, making it difficult to translate their expertise to creators and users of AI tools. We contribute insights from our co-design process with U.S. lawyers to identify and translate ways to predict and manage risks of medical AI tools. We present the visualizations we developed through two years of cross-disciplinary efforts and thereby illustrate our findings about how legal risks are determined and our strategies for people and organizations to predict and manage these risks. We offer insights about leveraging lawyers' expertise to understand, predict, and manage legal risks.

In a groundbreaking study published in the prestigious journal Cell Death Discovery, researchers Xu, Wang, Zhang, and colleagues have unveiled a pivotal mechanism by which Wnt signaling orchestrates the activation of cancer cell stemness in thoracic undifferentiated tumors deficient in SMARCA4, a critical chromatin remodeling factor. This discovery sheds new light on the molecular drivers […]

A study evaluates whether people with HIV infection and solid organ transplant recipients have higher odds of HPV-related cancers than unexposed control individuals.

A team of researchers at the University of New South Wales (UNSW) Sydney has unveiled a remarkable advance in cardiovascular research: a fully synthetic soft robotic model of the human heart’s left side. This pioneering device replicates the intricate architecture and dynamic motions of the heart, including crucial internal components such as artificial valves, papillary […]

Engineered tissue grafts could help perform key liver functions and benefit thousands of people living with liver failure. The liver is one of the body’s hardest-working organs, carrying out hundreds of vital jobs, from filtering toxins and metabolizing medications to producing proteins essential for blood clotting. Yet when it fails, the only definitive treatment is [...]

A new approach for identifying signs of hidden awareness in people who cannot speak or move after severe brain injury has been demonstrated by researchers at the University of Bath in the U.K.

DENVER — In a phase 1b trial, subretinal delivery of a human stem cell-derived retinal pigment epithelium yielded visual improvements in patients with advanced geographic atrophy, according to a speaker.“This study looked at subretinal stem cell implants through a pars plana vitrectomy surgery, where we created a bleb directly over the site of geographic atrophy,” Vivienne S. Hau, MD, PhD, told Healio at the Association for Research in Vision and Ophthalmology meeting. “Through that, it was hoped that the human embryonic stem cells would integrate and form [retinal pigment epithelium] cells,

For decades, the beauty and skincare industries operated under a relatively straightforward paradigm: identify a visible sign of

Anthropic will start an internal drug discovery program, part of a new push to sell artificial intelligence tools to drugmakers.

Anthropic will start an internal drug discovery program, part of a new push to sell artificial intelligence tools to drugmakers.

Tim Fernholz / TechCrunch: Omen AI, which provides real-time coolant health monitoring for data centers, raised a $31M Series A led by Nava Ventures, bringing its total funding to $41.5M  —  The AI-driven demand for compute power has data centers looking to squeeze more from every rack of GPUs.  One consequence?

Hereditary hearing loss affects millions globally, with mutations in the SLC26A4 gene among the most common genetic triggers, particularly across Asian populations. This condition leads to severe-to-profound deafness accompanied by inner ear malformations, such as an abnormally enlarged vestibular aqueduct and endolymphatic sac.

In Singapore, one biotech company is changing how we approach cancer treatment. CytoMed Therapeutics (NASDAQ: GDTC), just launched

Blood contains countless different proteins secreted from different cell populations throughout the body. Different cell types tend to secrete different mixes of proteins. Researchers have recently made inroads into constructing organ-specific aging clocks from protein levels in blood, using machine learning to identify patterns that predict the health, disease risk, and disease status of specific organs. This is still in the relatively early stages when compared to other clocks, but it seems to be going fairly well so far. The results are as useful as more general aging clocks, which is to say that there are still hurdles to overcome before they can be used by an individual to reliably assess health or in a study to rapidly assess outcomes of a new therapy. Senescent […]

Listen to the session or watch below Billions of dollars are flooding into efforts to reverse aging as scientists explore ways to return cells to a younger state. But how far off are these experimental treatments? Will they really work? Watch a conversation exploring longevity’s new focus. Speakers: Mary Beth Griggs, science editor and Jessica…

The ‘world’s first’ national AI model leads Finnish plan to concentrate national resources on industrial revival

When standard leukaemia treatments failed, 13-year-old Alyssa Tapley was told she had only weeks left – but then she was offered an experimental procedure

How people in health tech feel about AI in healthcare has changed drastically from just a year ago. Each year, health tech venture firm Venrock partners Bob Kocher, Bryan Roberts and Siobhan Nolan Mangini survey ...

Biomedical engineers at Duke University have used induced pluripotent stem cells (iPSCs) to grow specialized blood vessel cells critical to retinal health for the first time.

Meta just released the second version of its Brain2Qwerty non-invasive BCI, showing promising improvements that could lead to clinical trials. This system aims to build an interface that does not require invasive surgery, allowing patients to control a computer using their mind without needing to go under the knife.

People commonly disclose all kinds of personal data to AI chatbots, including the highly inadvisable practice of asking them for health advice. In addition to the grave medical dangers of obtaining inaccurate advice, users are also running significant privacy risks. Most AI chatbots have terms and conditions that allow any of your conversations with them to be used as training data, and often app terms that allow data to be collated and sold. Democrats now propose to update a privacy law to prevent the sale of health data …

Patients are also three times more likely to trust AI in their doctor's secure portal than a public chatbot.

What do laparoscopic surgery and robotic lunar construction have in common? Plenty, as it turns out, for Shuai Li, Ph.D., associate professor in the University of Florida's Department of Civil & Coastal Engineering.

arXiv:2606.28856v1 Announce Type: cross Abstract: While AI holds the potential to revolutionize space life sciences, realizing this promise is contingent upon the systematic restructuring of heterogeneous spaceflight biological data into machine-actionable, AI-ready forms. Even though open access principles support human reuse and scientific reproducibility, this does not necessarily enable AI systems to access and analyze such a diverse set of scientific datasets. In addition, the growing array of AI approaches places distinct demands on data structure, metadata, and access interfaces. In order to respond to such growing changes we propose a three-tier approach, proceeding from FAIR to AI-ready to space-ready data. We discuss existing infrastructures and how they can be improved to close the AI access gap. We conclude by proposing a neutral international coordinating body as the governance backbone for the trustworthy, agent-accessible space biology infrastructure that deep space

arXiv:2606.29777v1 Announce Type: new Abstract: Modern science is organized around specialization in training and teamwork. Scientists develop deep expertise within a field and combine complementary knowledge through collaboration to solve complex problems. Yet whether specialization is the most effective path to sustained innovation remains unclear. Here we introduce a quantitative framework that distinguishes generalists from specialists based on scaling patterns of disciplinary mobility while remaining independent of career age and productivity. Applying this framework to 49 million publications produced by 3 million scientists between 1900 and 2020, we examine how research style relates to innovation, learning, collaboration, and productivity. We find that scientists who move across fields are more likely to sustain innovative contributions throughout their careers, whereas those who remain within narrow fields exhibit the age-related decline in innovation. Generalists are less

arXiv:2606.29580v1 Announce Type: new Abstract: Maternal and newborn mortality remain among the highest in sub-Saharan Africa, where midwifery care is often delivered by nurses who lack midwifery training to international standards, and consulting authoritative guidance at the point of care is hard: the guidelines are long and connectivity is intermittent. We present MAM-AI, a medical question-answering assistant for nurse-midwives in Zanzibar that runs entirely on a commodity Android device: a question is embedded (EmbeddingGemma, 300M) and matched against a curated corpus of 87 guideline documents (63,650 passages), then answered with citations by a 4B int4 generator (Gemma 4 E4B), fully offline, with no query leaving the device. We evaluate the exact deployed configuration with a layered methodology -- retriever, generator under oracle context, end-to-end, and latency -- scored by LLM judges validated against physician rubrics. The evaluation relocates the hard problem. On-device

Генная терапия на основе CRISPR показала высокую эффективность у детей с тяжелой серповидноклеточной анемией и бета-талассемией. У всех участников, которых удалось оценить в долгосрочной перспективе, лечение обеспечило ожидаемый клинический эффект в течение как минимум года.