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The following article was originally posted by the Montreal Economic Institute (MEI) on May 14, 2026: Gene Editing for Improved Nutrition and More Affordable Food. … The post Gene Editing for Food Security appeared first on SAIFood.

Stem cell transplantation is the most cost-effective option for long-term care of sickle cell disease in adults when compared with gene therapy and standard of care treatment, according to new research published in Blood.

Tissue expansion is a common technique used in reconstructive surgery. Surgeons slowly stretch nearby skin to grow extra tissue that can be used to rebuild areas such as the ear, breast, or nose.

A team of Israeli scientists at the Hebrew University of Jerusalem has developed a novel method to significantly lower the production costs of cultivated meat. The new study demonstrates that preloading plant-derived cellulose scaffolds with growth factors supports the cost-efficient proliferation and differentiation of bovine stem cells. By binding these vital proteins directly to an anisotropic, directionally frozen framework instead of dispersing them in liquid media, this method achieves high-quality tissue development using up to 10 times fewer expensive factors. Upon multi-week cultivation and subsequent pan-frying, the cell-bound constructs show partially similar mechanical and visual responses to traditional sirloin cuts.

Health care professionals want AI tools that are clinically accurate, offer privacy protections and can be integrated into existing workflows, according to data from a Healio survey.In March, Healio fielded a 27-item survey to understand how health care professionals are using AI in practice and their sentiments toward AI tools. Among 618 eligible respondents (49.5% men), 52.3% were physicians and 48.4% had more than 21 years of experience. Respondents’ primary affiliations were with private practices (45.1%), academic medical centers (21.4%) and community hospitals (19.9%), among other

A single fecal microbiota transplantation improved alcohol abstinence and reduced relapse rates in patients with alcohol-associated cirrhosis and alcohol use disorder.

First whole-genome sequence of a Greenland shark holds clues to their extreme longevity  Live ScienceThe Genetic Secrets of a Shark That Lives for 500 Years  Nautilus | Science

First whole-genome sequence of a Greenland shark holds clues to their extreme longevity  Live ScienceThe Genetic Secrets of a Shark That Lives for 500 Years  Nautilus | Science

Stem cell transplantation is the most cost-effective option for long-term care of sickle cell disease in adults when compared with gene therapy and standard of care treatment, according to new research published in Blood .

At the meeting, experts discussed the growing need for federated learning frameworks that enable AI model training across proprietary biopharma datasets without compromising intellectual property or sensitive research data. The post Bio-IT World Keynote Highlights Collaborative Intelligence in AI-Driven Drug Discovery appeared first on GEN - Genetic Engineering and Biotechnology News.

An official at Circio says that by integrating Circio's and GenAssist's complementary technologies, the parties aim to focus on the development of a joint next generation of AAV gene therapy candidates. The post Circio and GenAssist Collaborate on Gene Therapy for Muscle Disease and In Vivo Cell Therapy appeared first on GEN - Genetic Engineering and Biotechnology News.

Spinal cord injuries can have devastating consequences for those affected. Nerve cells in the spinal cord rarely regenerate naturally, while scarring often prevents the regrowth of nerve fibers. Modern therapies attempt to influence implanted stem cells using electrical stimulation to promote the growth of new nerve cells. This approach has several drawbacks: it requires implanted electrodes, and the transplanted cells do not always survive or integrate properly into the existing tissue.

From Months to 24 Hours: MedTherapy’s Big Gene Therapy Promise  One of the biggest obstacles that researchers face in Gene Therapy is not the science behind it. While we continue to push the boundaries of genetics and medicine, we miss out on the most important aspect, called manufacturing. These therapies are slow, complex, and expensive. […] The post From Months to 24 Hours: MedTherapy’s Big Gene Therapy Promise  appeared first on BioTecNika.

A research team from ETH Zurich and the University of Zurich (UZH) has developed a novel approach to treating spinal cord injuries: controllable microrobots deliver stem cells directly to the site of an injury, where they promote nerve cell regeneration.

The global health care sector is under increasing strain.  Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse.…

A single fecal microbiota transplantation improved alcohol abstinence and reduced relapse rates in patients with alcohol-associated cirrhosis and alcohol use disorder.

A new study identifies vgll3 as a key gene that promotes rapid growth and early reproduction while increasing the risk of aging and cancer later in life. The findings provide rare experimental evidence for the theory that evolution favors early-life advantages even at the expense of long-term health.

Findings reveal that the Mediterranean diet may reduce anxiety symptoms in adolescents, with maternal dietary habits also impacting offspring mental health.

arXiv:2606.01816v1 Announce Type: new Abstract: Selecting where to intervene on a protein (i.e., choosing a targetable site) is often a more ambiguous and failure-prone bottleneck than selecting what binds, especially for membrane proteins where accessibility, topology, and post-translational modifications (PTMs) constrain actionable regions. We present Site4Drug, a modality-aware site-finding agent that outputs a ranked list of targetable regions with explicit constraints, evidence summaries, risk flags, and a traceable decision log. Rather than requiring users to specify the drug modality upfront, Site4Drug can recommend a binding modality (e.g., antibody/peptide-like vs small-molecule) from the same evidence used for site discovery, including topology, hydropathy, PTM propensity, disulfides, domain context, and sequence. Importantly, this evidence is applied consistently across modalities, including small-molecule pocket discovery, to avoid selecting chemically plausible but

arXiv:2606.01816v1 Announce Type: cross Abstract: Selecting where to intervene on a protein (i.e., choosing a targetable site) is often a more ambiguous and failure-prone bottleneck than selecting what binds, especially for membrane proteins where accessibility, topology, and post-translational modifications (PTMs) constrain actionable regions. We present Site4Drug, a modality-aware site-finding agent that outputs a ranked list of targetable regions with explicit constraints, evidence summaries, risk flags, and a traceable decision log. Rather than requiring users to specify the drug modality upfront, Site4Drug can recommend a binding modality (e.g., antibody/peptide-like vs small-molecule) from the same evidence used for site discovery, including topology, hydropathy, PTM propensity, disulfides, domain context, and sequence. Importantly, this evidence is applied consistently across modalities, including small-molecule pocket discovery, to avoid selecting chemically plausible but

arXiv:2606.01961v1 Announce Type: new Abstract: Autonomous agents are increasingly expected to support end-to-end medical-AI research workflows, moving beyond isolated prediction tasks or short-form clinical question answering. However, existing medical agent benchmarks primarily evaluate final outputs, providing limited visibility into agent behavior within the research process. To address this gap, we present AutoMedBench, a workflow-aware benchmark for autonomous medical-AI research across diverse medical imaging and multimodal inference tasks, organizing agent execution into a unified five-stage workflow (S1-S5): Plan, Setup, Validate, Inference, and Submit. It comprises long-horizon tasks with each run averaging 33 agent turns, spanning five research tracks: segmentation, image enhancement, visual question answering (VQA), report generation, and lesion detection. Each task is evaluated under two difficulty tiers, Lite and Standard, which use the same data and metrics but differ

arXiv:2606.01767v1 Announce Type: new Abstract: Electroencephalography (EEG) is the cornerstone of non-invasive brain-computer interfaces (BCIs), yet conventional decoding relies on fragmented, task-specific architectures that severely limit cross-task scalability. While EEG foundation models pre-trained on massive corpora promise universal brain decoding, current post-training depends on task-isolated fine-tuning. This static paradigm restricts knowledge transfer across heterogeneous tasks, hinders model scalability, and incurs computational and storage overheads that scale linearly with task count. To overcome these bottlenecks, we formulate downstream adaptation as a cross-task continual learning problem and propose EvoBrain, a dynamic, task-aware continual learning framework for unified EEG decoding. EvoBrain addresses the plasticity-stability trade-off via two complementary components: (1) Neuro-Spectral Task Normalization (NSN) aligns incoming tasks with historical statistics

arXiv:2606.01365v1 Announce Type: new Abstract: Tool-using multi-agent large language model (LLM) systems spend computation through model tokens, tool calls, retries, and code execution before producing an answer. When a run fails, final-answer evaluation reveals the endpoint but usually not the point at which the trajectory stopped making recoverable progress. This paper introduces a failure-aware observability framework for diagnosing wasted computation in multi-agent LLM traces. The framework maps recurring failure modes to online trace signals, including tool reliability, execution recovery, orchestration loops, evidence availability, information change, and budget pressure. We instantiate the framework in a three- agent question-answering system and evaluate it on 165 GAIA validation traces under identical execution caps. Operational failures remain common: 22/53 level-1 runs, 33/86 level-2 runs, and 12/26 level-3 runs fail to produce a usable final answer. The traces expose

arXiv:2606.01237v1 Announce Type: new Abstract: Mild cognitive impairment (MCI) and subjective cognitive decline (SCD) are closely associated with the early Alzheimer's disease continuum, where accurate and explainable diagnosis is important for early risk assessment and intervention. Existing connectome-based deep learning models can improve classification performance but often provide limited insight into disease-related functional and structural connectivity changes. This paper proposes an atlas-knowledge-guided Generative Counterfactual Attention-guided Network (GCAN) for explainable cognitive decline diagnosis using multimodal brain connectomes. GCAN formulates diagnosis as a source-to-target counterfactual generation problem, where target-label connectomes are generated from source-label inputs and their differences are used to construct counterfactual attention maps. To preserve connectome topology, an Atlas-aware Bidirectional Transformer (AABT) performs network-level token

In a remarkable breakthrough poised to reshape our understanding of cerebral microbleeds and their contribution to neurodegenerative conditions, researchers at Ajou University School of Medicine have engineered an innovative mouse model that isolates this elusive pathology with unprecedented precision. Cerebral microbleeds—minute brain hemorrhages visible as tiny dark foci on T2*-weighted MRI scans—afflict millions of elderly […]

Source: Breakthrough T1DRelated MedlinePlus Pages: Islet Cell Transplantation

Source: Health Resources and Services AdministrationRelated MedlinePlus Pages: Islet Cell Transplantation, Pancreas Transplantation

This scoping review of 70 studies found that AI is used mainly to detect and measure health-related stigma, rather than to reduce it. Evidence that AI can reduce stigma remains early, limited, and concentrated in mental health conversational-agent studies.

People who vape regularly show altered activity in 3,124 genes across the genome compared with people who do not smoke or vape.

PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them into deep learning models to predict drug-side effect associations. In benchmark testing, PromptSE improved prediction performance, while PromptSE+ further boosted results by adding multi-modal drug information and graph-based refinement for sparse data.

Biochar, celebrated globally as a climate-smart soil amendment, holds exceptional promise for enhancing soil quality while simultaneously sequestering carbon across extensive temporal scales. However, despite its growing application, the dynamic processes governing biochar transformation in various soil environments remain only partially understood, particularly within saline soils, where salt stress poses significant agricultural challenges. A groundbreaking […]

In a groundbreaking advancement poised to reshape reconstructive surgery, researchers at Mass General Brigham have unveiled a new class of 4D-printed adaptive hydrogel tissue expanders designed for complex reconstructions of the ear and breast. This innovative technology harnesses the transformative potential of 4D printing — a cutting-edge process that creates materials capable of changing shape […]

In a groundbreaking advancement for the treatment of hereditary thrombophilia, scientists have successfully demonstrated the therapeutic potential of adeno-associated virus (AAV) vectors to restore protein C levels in a murine model of protein C (PC) deficiency. This inherited disorder, driven by mutations in the PROC gene, severely compromises the natural anticoagulant pathway, significantly elevating risks […]

Ben Askren returns to action after recovering from double lung transplant, faces Belal Muhammad at RAF 11  MMA FightingBen Askren returning to wrestling after double lung transplant  ESPNFunky time! Ben Askren returns to wrestling, takes on Belal Muhammad at RAF 11  Yahoo SportsBen Askren books first competition since battling near-death pneumonia  MMA JunkieBen Askren confirms he will wrestle ex-UFC champion less than a year after life-saving double lung transplant  Bloody Elbow

Ben Askren returns to action after recovering from double lung transplant, faces Belal Muhammad at RAF 11  MMA FightingBen Askren returning to wrestling after double lung transplant  ESPNFunky time! Ben Askren returns to wrestling, takes on Belal Muhammad at RAF 11  Yahoo SportsBen Askren books first competition since battling near-death pneumonia  MMA JunkieBen Askren confirms he will wrestle ex-UFC champion less than a year after life-saving double lung transplant  Bloody Elbow

What if a process we associate with aging actually helps the body heal? A study led by Mikolaj Ogrodnik, LBI Trauma, published in Nature Cell Biology, shows that cells enter a state of senescence within minutes to hours after an injury—and that this rapid response not only plays a key role in wound healing, but also changes the paradigm of how slowly senescence was expected to arise.

As artificial intelligence rapidly enters health care, policymakers and health systems are struggling to keep pace with the implications for how the technology should be governed to ensure patient safety, provider accountability, and overall equity.

In a groundbreaking study, Stevens researchers show how colorectal cancers can evolve from mature intestinal cells that revert to stem cells.

A genomic study of Greenland sharks, thought to be the longest-lived vertebrates on the planet, is hinting at the secrets to their epic lifespan and cancer resistance.

A team of researchers led by Luigi Naldini at the San Raffaele Telethon Institute for Gene Therapy (SR-Tiget) has developed a new strategy to significantly improve the precision and safety of CRISPR-Cas9 gene editing in human blood stem cells, potentially overcoming one of the major barriers limiting broader clinical application of genome editing therapies.

A new survey estimates 8 million young people use AI chatbots for help when stressed, angry or sad, an increase from 2024.

A team of researchers led by Luigi Naldini at the San Raffaele Telethon Institute for Gene Therapy (SR-Tiget) has developed a new strategy to significantly improve the precision and safety of CRISPR-Cas9 gene editing in human blood stem cells, potentially overcoming one of the major barriers limiting broader clinical application of genome editing therapies.

Laparoscopic cholecystectomy is increasingly performed in children, yet bile duct injury remains a serious and potentially devastating complication.

Donald Trump has hailed a perfect score on a White House cognitive test as proof of 'extreme intelligence.'

arXiv:2605.31506v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) is the current industry standard for grounding AI in real-world facts. Traditional retrieval methods rely on keyword matching and topic proximity, ranking content based on how closely it sounds like the user's query. What they do not measure is how many verified facts the content actually contains. This structural gap, termed the Expert Blindness Effect, causes standard RAG pipelines to consistently bury high-density factual evidence in favor of lexically dominant text on the same topic. To address this gap, this paper introduces Factual Density (FD*), a novel retrieval optimization signal that measures the proportion of verified atomic claims relative to total token count. Using the NexusAgentics Ghost Audit preprocessing pipeline, raw text is scored for factual specificity using probabilistic factuality analysis to filter content before corpus ingestion. An initial formulation introduced a severe

arXiv:2605.31138v1 Announce Type: new Abstract: User Experience Research (UXR) in a legal and regulatory contexts presents unique challenges that require specialised approaches to protect vulnerable populations whilst generating actionable insights. Digital consultation, appointment booking, and medication delivery platforms show promise for extending care access; however, their real-world effectiveness is curtailed by an absence of theoretically grounded user experience research (UXR) methodologies that adequately account for the psychosocial conditions of these populations. This paper introduces a Generative AI-augmented UXR methodology, grounded in the UXR Point of View (PoV) Playbook, to guide the design of psychologically safe, low-cognitive-load digital health interventions for MSM and transgender individuals living with HIV/AIDS in Nigeria. Drawing from empirical research involving co-design workshops, thematic analysis, and requirements engineering, the methodology is

As governments and industry leaders race to establish guardrails for artificial intelligence (AI) in health care, Philips Korea CEO Choi Nak-hoon has been recognized for helping connect global regulatory discussions with Korea’s rapidly evolving medical device sector. Choi received a commendation from the commissioner of the Ministry of Food and Drug Safety during the 19th Medical Devices Day ceremony, Philips Korea said Sunday. Choi was recognized for his contributions to the development of the medical device industry and the advancement of public health. The company said Choi played a key role in expanding international regulatory cooperation in the field of AI-powered medical devices through AIRIS 2025, an international symposium on AI medical product regulation jointly organized by the ministry and the World Health Organization in 2025. According to Philips Korea, Choi oversaw participation by both Philips headquarters and its Korean operations in the event, helping facilitate

AMD Announces Socket AM5 Longevity till 2029  TechPowerUpAMD’s new pitch: our old tech is so good you should just keep using it  The VergeAMD Formally Announces Ryzen 7 5800X3D 10th Anniversary Edition and Ryzen 7 7700X3D  TechPowerUpAMD’s Plan to Fix RAM Costs: Bring Back Bygone CPUs  GizmodoAMD brought the Ryzen 7 5800X3D back because AM4 refuses to die  PCWorld

AMD Announces Socket AM5 Longevity till 2029  TechPowerUpAMD’s new pitch: our old tech is so good you should just keep using it  The VergeAMD Formally Announces Ryzen 7 5800X3D 10th Anniversary Edition and Ryzen 7 7700X3D  TechPowerUpAMD’s Plan to Fix RAM Costs: Bring Back Bygone CPUs  GizmodoAMD brought the Ryzen 7 5800X3D back because AM4 refuses to die  PCWorld

Studies found that amputated tissue from a sea cucumber remains viable for years in natural seawater, providing evidence of diversifying cells, immune activity, and tissue reorganization, and potentially “compelling a redefinition of what it means for tissue to be alive.” The post Sea Cucumber Tissues Demonstrate Natural Immortality in Seawater appeared first on GEN - Genetic Engineering and Biotechnology News.

Researchers developed PRINCE, a small-molecule-controlled CRISPR system enabling precise, long-term regulation of gene editing. Its compact version, Little Prince, showed therapeutic potential in mouse models of cholesterol disease and macular degeneration. The post PRINCE: A Small-Molecule Switch for Safer Gene Editing appeared first on GEN - Genetic Engineering and Biotechnology News.

Patients in London have received a pioneering new gene editing therapy that lowers "bad" cholesterol after a single infusion, as part of a study involving UCL scientists.

Donald Trump's latest health report claims an AI-enhanced cardiac age significantly younger than his actual age, sparking scepticism from cardiologists over the clinical value of such metrics.

Revolution Medicines starts shipping experimental pancreatic cancer drug  statnews.comAfter new drug’s ‘unprecedented’ results for pancreatic cancer, doctors look at other uses  NBC NewsASCO: Revolution Medicines confident in RAS leadership as rivals square up  Fierce BiotechHow scientists found a weakness in one of the deadliest ‘undruggable’ cancers  The Washington PostDaily pill can double survival time for world’s deadliest cancer, trial shows  The Guardian

Revolution Medicines starts shipping experimental pancreatic cancer drug  statnews.comAfter new drug’s ‘unprecedented’ results for pancreatic cancer, doctors look at other uses  NBC NewsASCO: Revolution Medicines confident in RAS leadership as rivals square up  Fierce BiotechHow scientists found a weakness in one of the deadliest ‘undruggable’ cancers  The Washington PostDaily pill can double survival time for world’s deadliest cancer, trial shows  The Guardian

Scientists are discovering that some of the cells linked to aging may also be key to staying healthy. A growing body of research is changing how scientists view one of aging biology’s most studied cell types: senescent cells, often called “zombie cells.” While these cells have long been associated with aging and chronic disease, new [...]

Russia invests £22 billion in anti-ageing technologies to extend political leadership lifespan. The programme includes organ cultivation and gene therapy, aiming to secure a permanent political dynasty.

From specialized motors to the use of machine learning algorithms, Turkey’s billion-dollar hair-transplant industry is the result of a constant process of innovation.

Personalized cancer vaccines might make notoriously deadly brain cancers more susceptible to immunotherapy and possibly prolong survival for some patients, according to new research from the Dana-Farber Cancer Institute. The vaccines are ...

A new study from Cleveland Clinic and Case Western Reserve University has found that geographic location remains an important factor in access to donor lungs in the United States, even after recent updates to the national lung allocation system changed how donor lungs are distributed.

A new tool can distinguish among major neurodegenerative diseases with goal of providing clarity for treatment decisions.

Artificial intelligence (AI)-powered chatbots respond to everyday health-related questions from general users with nearly 76% accuracy, which raises concerns about their trustworthiness in real-world client-facing applications, according to a new study led by Penn State researchers.

One UI 9 Watch beta may be around the corner with smarter AI and health upgrades  SamMobileSamsung’s next Galaxy Watch update could finally make your health data useful  Android AuthorityOne UI 9 Watch rumors say 'smart insights' about your health are coming  Android Central"Your health score is 45"... Samsung Health to introduce scores for greater intuitiveness  매일경제One UI 9 Watch Beta Could Launch Soon for Galaxy Watches  SammyGuru

One UI 9 Watch beta may be around the corner with smarter AI and health upgrades  SamMobileSamsung’s next Galaxy Watch update could finally make your health data useful  Android AuthorityOne UI 9 Watch rumors say 'smart insights' about your health are coming  Android Central"Your health score is 45"... Samsung Health to introduce scores for greater intuitiveness  매일경제One UI 9 Watch Beta Could Launch Soon for Galaxy Watches  SammyGuru

A Democratic strategist allegedly deployed a candidate named Dan Sullivan to challenge the incumbent Republican senator in Alaska's ranked choice system.

Learn how gene editing may help people born with dangerously high cholesterol lower their levels with just one infusion.

In an era where artificial intelligence is reshaping multiple facets of healthcare, a groundbreaking study protocol has been unveiled that aims to explore the benefits of AI-assisted education programs on older adults battling head and neck cancer. This innovative research focuses on a demographic often faced with not only physical challenges but profound psychological and […]

In the evolving landscape of Parkinson’s disease research, a critical methodological challenge has emerged that threatens the integrity of survival analysis in clinical studies. J.H. Viuff’s latest work, published in npj Parkinson’s Disease, addresses a subtle yet powerful source of distortion known as immortal time bias. This phenomenon occurs when researchers condition their analysis on […]

Groundbreaking genomic test could spare millions of breast cancer patients chemotherapy  The GuardianVeracyte genomic test identifies breast cancer patients who can skip chemo  ReutersOPTIMA Phase III: Gene Expression Test Helps Identify Patients Who May Avoid Chemotherapy  Docwire NewsVeracyte to Host Investor Call on June 1, 2026 to Discuss ASCO Findings  Yahoo FinanceThousands of women could be spared chemo for breast cancer with new gene test  The Sun

Groundbreaking genomic test could spare millions of breast cancer patients chemotherapy  The GuardianVeracyte genomic test identifies breast cancer patients who can skip chemo  ReutersOPTIMA Phase III: Gene Expression Test Helps Identify Patients Who May Avoid Chemotherapy  Docwire NewsVeracyte to Host Investor Call on June 1, 2026 to Discuss ASCO Findings  Yahoo FinanceThousands of women could be spared chemo for breast cancer with new gene test  The Sun

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate artificial intelligence research using health data, addressing longstanding challenges in data standardization, reproducibility, and collaboration across institutions.

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate artificial intelligence research using health data, addressing longstanding challenges in data standardization, reproducibility, and collaboration across institutions.

In a groundbreaking advancement poised to transform biomedical artificial intelligence research, Columbia University researchers have introduced MEDS, a pioneering open-source framework that aims to harmonize and expedite the integration of health data in AI workflows. This development marks a significant stride forward in overcoming the persistent barriers of data heterogeneity, reproducibility, and institutional collaboration that […]

The two governments unveil ‘groundbreaking’ science and technology deal

Inside Putin’s $26 Billion Quest for Longevity  WSJMini-Pigs To Organ Printing, Putin's $26 Billion Anti-Ageing Plan: Report  NDTVThe WSJ reported on the 28th (local time) that Russian President Vladimir Putin is investing 26 bill..  매일경제Putin Invests $26 Billion in Cutting-Edge Research to Combat Ageing  The CSR JournalPutin’s hot mic ‘immortality’ moment is now $26-bn longevity investment, says report  Firstpost

Inside Putin’s $26 Billion Quest for Longevity  WSJMini-Pigs To Organ Printing, Putin's $26 Billion Anti-Ageing Plan: Report  NDTVThe WSJ reported on the 28th (local time) that Russian President Vladimir Putin is investing 26 bill..  매일경제Putin Invests $26 Billion in Cutting-Edge Research to Combat Ageing  The CSR JournalPutin’s hot mic ‘immortality’ moment is now $26-bn longevity investment, says report  Firstpost

Emerging data suggest Western dietary patterns may promote inflammatory gut changes, whereas traditional diets appear linked to more favorable metabolic effects.

4basebio PLC, a specialist in synthetic DNA manufacturing and nucleic acids for next-generation therapeutics, announces the commercial launch of its high-capacity single-stranded DNA (ssDNA) product line to accelerate the development of safer, more precise genetic therapies by enabling targeted gene editing, advanced cell engineering, and innovative nucleic acid-based medicines.

An early 1900s rail and tram depot abandoned for almost 20 years in Rome will become a mixed-use private development designed by Stefano Boeri Architetti. The 16,000-sq-m Depositi delle Vittorie… The post Abandoned depot in Rome to become “virtuous example of urban regeneration” appeared first on Global Construction Review.

arXiv:2605.29744v1 Announce Type: new Abstract: The impressive performance of generalist large language models (LLMs) such as GPT and Claude in healthcare raises a critical question: will domain-specific medical specialist models become obsolete? We argue that the future of medical artificial intelligence (AI) lies not in building monolithic medical foundation models, nor in replacing human expertise, but in orchestrating collaboration among generalist LLMs, domain-specific specialist models, and clinicians. We propose HetMedAgent, a heterogeneous medical multi-agent framework that enables conflict-aware evidence fusion, uncertainty-based clinician intervention triggering, and adaptive threshold calibration. Experiments on three real-world clinical decision-making tasks demonstrate that the synergy between generalist LLMs and domain-specific specialist models significantly outperforms using either type of model alone, validating the irreplaceable value of specialist models in

arXiv:2605.29685v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly applied in social contexts such as emotional companionship and customer service, measuring their social intelligence has become critical to the quality and safety of human-AI interaction. However, existing social intelligence benchmarks lack a unified framework that organizes social abilities into a unified structure, and therefore cannot enable fine-grained diagnosis. To build the first holistic diagnostic evaluation grounded in social theory, we first construct a social intelligence framework through a literature review and multi-stage expert validation guided by psychometric principles. The resulting framework includes 4 categories and 11 dimensions, each further specified by fine-grained capability facets. Building on this framework, we introduce NICE (Norm, Interaction, Cognition, Experience), a diagnostic benchmark of 137 items operationalized through representative Chinese contexts.

arXiv:2605.29652v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being used to generate health text from structured records such as wearable time series, biomarkers, vitals, and care-management logs. For recurring health outputs, fluency is not enough: systems must remain faithful to source data, ground explanatory claims in available evidence, follow stated policies, emit machine-readable outputs, and run cheaply enough for repeated use. We ask which responsibilities in structured health generation should be deterministic computation rather than runtime LLM prompting. We introduce Think Fast, Talk Smart, a sleep-health insight pipeline in which deterministic code performs recurring analysis before one bounded LLM writer call. Across 280 user-nights and six models, achieves lower numeric error, lower instruction-compliance error, and lower end-to-end cost than structured zero-shot and few-shot one-call baselines. Layer replacement reveals

arXiv:2605.29210v1 Announce Type: new Abstract: The growing integration of artificial intelligence (AI) and machine learning (ML) in medical systems requires effective measures to address emerging security risks. One such risk is that of adversaries introducing false data through vulnerable system components during inference, causing misdiagnosis and wrong treatments. These risks are challenging to anticipate and address in the design phase, as the system assembly partially occurs during actual use by end users. To address this concern, we introduce SAMD, an automated tool for performing System Theoretic Process Analysis for Security (STPA-Sec) on AI/ML-enabled medical devices during the design phase. SAMD models the medical system as a control structure, treating all system components as potential points for injecting false data into the ML engine. It leverages state-of-the-art vulnerability databases and Large Language Models (LLMs) to automate vulnerability discovery and generate a

Natural diamond prices have plummeted due to the rise of lab-grown alternatives, which now dominate the engagement ring market, offering cost-effective and customisable options for couples

A feature story authored by Simon Spichak, MSc investigates how biotech companies like Cortical Labs and FinalSpark harness human brain cells to electrodes, performing computational functions and testing the cells' responses to electrical and chemical stimuli. To create biocomputers, scientists grow organoids—small spheres of, in this case, neural tissue—on top of multi-electrode arrays in a hardware shell, which can then be used for everything from testing medications to playing video games. The work is published in the Journal of Medical Internet Research.

Artificial intelligence (AI)-powered chatbots respond to everyday health-related questions from general users with nearly 76% accuracy, which raises concerns about their trustworthiness in real-world client-facing applications, according to a new study led by Penn State researchers.

Cambridge scientists have grown miniature circuits in the lab that mimic how the brain and spinal cord connect, which underlies human movement. They used this model to show how damage to these connections previously considered "irreversible" could, in fact, be reversible.