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John Jumper / @johnjumpersci: John Jumper, who won the Nobel Prize “for protein structure prediction”, says he is leaving Google DeepMind after nearly nine years to join Anthropic  —  A bit of news: After nearly 9 years, I have decided to leave Google DeepMind and join Anthropic (after taking some time to recharge). I am incredibly grateful for my time at GDM. @demishassabis took a real chance letting me lead the AlphaFold team just six months after finishing

Discover how AI, automation, and next-generation DMTA workflows are accelerating drug discovery with expert insights from TTP leaders.

Thrombospondin-1 is a component of the senescence-associated secretory phenotype (SASP) produced by senescent cells. It has been shown in the past to induce blood-brain barrier dysfunction, but here researchers show that it also degrades mitochondrial function in macrophages, biasing those cells into the inflammatory M1 state. This in turn contributes to chronic inflammation and dysfunctional bone regeneration. The accumulation of senescent cells with age is known to be an important aspect of degenerative aging, and the SASP is known to change bystander cell behavior for the worse. There are likely countless mechanisms of this nature taking place in the aging body, all of which could be suppressed via reduction of the burden of senescent cells. The aging bone marrow microenvironment is characterized by chronic low-grade […]

Researchers here report on an interesting in vitro exercise in the comparative biology of aging. They took fibroblast cells from ten difference mammalian species with widely divergent life spans and chemically induced DNA damage in the cells. Modern DNA sequencing approaches allow an accurate measure of the amount of mutational damage produced by this chemical treatment, which in turn allows a comparison of the degree to which cells from different species can resist such damage via the operation of DNA repair systems. Long-lived species have more efficient DNA repair mechanisms, as determined by this approach. We test the hypothesis that excess mutations induced in primary fibroblasts by a low dose of N-ethyl-N-nitrosourea (ENU) are inversely correlated with species-specific maximum life span. To measure excess mutations […]

Adjusting the operation of metabolism to modestly slow aging has long formed the bulk of fundamental research into intervention in aging. All living organisms exhibit some plasticity of life span when subject to mild stresses, such as lack of nutrients, heat, cold, and so forth. Unfortunately this strategy seems unlikely to lead to therapies that greatly improve upon the effects of exercise and lifestyle choice, particularly given the evidence for metabolic adjustment to produce ever smaller gains in longevity as species life span increases. Nonetheless, this form of research persists, driven by the scientific urge to obtain complete understanding of the way in which aging progresses in detail. Here, for example, researchers provide evidence for there to be multiple options for the adjustment of metabolism […]

The pharmaceutical industry has spent years investing in machine learning, predictive analytics, and computational biology. Yet many research

Google Health App Gets Massive Update With 13+ Changes  Droid LifeGoogle Health 5.02 rolling out with return of naps, Hourly activity, & more  9to5GoogleNew Google Health app update hands Fitbit and Pixel Watch users a much-needed win  PhoneArenaTake a nap: Google Health focuses on sleep, fitness tracking this June  Android CentralGoogle Health 5.02 finally brings back Fitbit features users have been asking for  Android Police

Google Health App Gets Massive Update With 13+ Changes  Droid LifeGoogle Health 5.02 rolling out with return of naps, Hourly activity, & more  9to5GoogleNew Google Health app update hands Fitbit and Pixel Watch users a much-needed win  PhoneArenaTake a nap: Google Health focuses on sleep, fitness tracking this June  Android CentralGoogle Health 5.02 finally brings back Fitbit features users have been asking for  Android Police

The operation opens the door to treating more people living with HIV who have end-stage organ disease

CHICAGO — In patients who received an organ transplant, diabetes — whether diagnosed before or after transplantation — was linked to elevated risk for mortality, researchers reported at ENDO 2026.The researchers analyzed data from 803,762 U.S. patients who received a single organ transplant between 1987 and 2021 and were included in the United Network for Organ Sharing or Organ Procurement & Transplantation Network databases. Among the cohort, 441,362 had a kidney transplant, 264,461 had a liver transplant, 75,777 had a heart transplant, 42,174 had a lung transplant, 6,923 had a pancreas

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A startup claims it broke through a bottleneck that’s holding back LLMs AI startup Subquadratic came out of stealth last month with a huge claim: it had solved a mathematical bottleneck…

uniQure announced June 17, 2026: FDA agreed that 3-year AMT-130 Phase I/II data supports an accelerated approval BLA for Huntington's disease. BLA submission planned Q3 2026.

Google Health 5.02 finally brings back Fitbit features users have been asking for  Android PoliceGoogle Health 5.02 rolling out with return of naps, Hourly activity, & more  9to5GoogleNew Google Health app update hands Fitbit and Pixel Watch users a much-needed win  PhoneArenaTake a nap: Google Health focuses on sleep, fitness tracking this June  Android CentralGoogle Health App Gets Massive Update With 13+ Changes  Droid Life

Google Health 5.02 finally brings back Fitbit features users have been asking for  Android PoliceGoogle Health 5.02 rolling out with return of naps, Hourly activity, & more  9to5GoogleNew Google Health app update hands Fitbit and Pixel Watch users a much-needed win  PhoneArenaTake a nap: Google Health focuses on sleep, fitness tracking this June  Android CentralGoogle Health App Gets Massive Update With 13+ Changes  Droid Life

A new gene therapy has been used to successfully treat a deadly childhood liver disease using mice that model this disease by researchers at UCL and Great Ormond Street Hospital.

Google Health's 5.02 update restores two features that went missing in the redesign, and adds a handful of genuinely useful improvements.

arXiv:2606.19823v1 Announce Type: cross Abstract: Automatic speech recognition remains unreliable for dysarthric speech due to data scarcity and high inter-speaker variability. While synthetic data can address these gaps, traditional methods often require extensive speaker-specific data, reintroducing the collection bottleneck. We investigate zero-shot voice cloning as a low-burden augmentation strategy, using Higgs Audio V2 to clone speakers in the TORGO dataset. We fine-tune (FT) Whisper-medium on cloned, real, and hybrid data and evaluate on held-out real speech. Compared to the zero-shot (31.62%), Clone FT achieved a competitive 26.00% WER, nearly matching the 24.44% and 25.12% seen with Real and Hybrid FT, respectively. Notably, Clone and Hybrid FT outperform Real FT for moderate-severe speakers. Clone FT achieves the best results (11.45% relative) in cross-corpus evaluation on the SAP-1102. These results suggest that zero-shot cloning provides scalable training data that

arXiv:2606.20323v1 Announce Type: new Abstract: Deep Transfer Learning (DTL) allows for the efficient building of Intelligent Fault Diagnosis Systems (IFDS). On the other hand, DTL methods still heavily rely on large amounts of labelled data. Obtaining such an amount of data can be challenging when dealing with machines or structures faults. This document proposes a novel approach to the design of vibration-based IFDS using DTL in condition of strong data scarcity. A periodic multi-excitation level procedure leveraging intrinsic non-linearities of real-world systems is used to produce images that can be conveniently analysed by pre-trained Convolutional Neural Networks (CNNs) to diagnose faults. A new data visualization method and its augmentation technique are proposed in this paper to tackle the typical lack of data encountered during the design of IFDS. Experimental validation on a railway pantograph structure provides effective support for the proposed method.

arXiv:2606.20164v1 Announce Type: new Abstract: Real-world clinical decision support requires reasoning over heterogeneous and longitudinal patient information rather than answering isolated medical questions. However, current medical large language models and retrieval-augmented generation systems often rely on single-step prompting or retrieval, which can be fragile when clinical evidence is distributed across long electronic health records, medical images, sensor streams, guidelines, and referral constraints. This paper proposes MedRLM, a Recursive Multimodal Health Intelligence framework for long-context clinical reasoning, sensor-guided screening, and community-to-tertiary referral support. Instead of compressing all patient information into one prompt, MedRLM treats the patient case as an external clinical environment that can be recursively inspected, decomposed, retrieved, verified, and synthesized. The framework coordinates specialized agents for clinical text, longitudinal

This week, I covered the story of Casey Harrell—a man with ALS who is “the first power user” of a brain implant, according to the researchers who worked with him. Harrell is paralyzed and unable to speak coherently without the device. He has now spent almost three years using a brain-computer interface (BCI) that enables…

A new gene therapy has been used to successfully treat a deadly childhood liver disease in mice that model the disease, according to researchers at UCL and Great Ormond Street Hospital. Arthrogryposis, renal dysfunction and cholestasis (ARC) syndrome is a lethal genetic disorder usually caused by a lack of the VPS33B protein, with children diagnosed with the condition rarely living beyond their first year of life.

arXiv:2606.20164v1 Announce Type: cross Abstract: Real-world clinical decision support requires reasoning over heterogeneous and longitudinal patient information rather than answering isolated medical questions. However, current medical large language models and retrieval-augmented generation systems often rely on single-step prompting or retrieval, which can be fragile when clinical evidence is distributed across long electronic health records, medical images, sensor streams, guidelines, and referral constraints. This paper proposes MedRLM, a Recursive Multimodal Health Intelligence framework for long-context clinical reasoning, sensor-guided screening, and community-to-tertiary referral support. Instead of compressing all patient information into one prompt, MedRLM treats the patient case as an external clinical environment that can be recursively inspected, decomposed, retrieved, verified, and synthesized. The framework coordinates specialized agents for clinical text, longitudinal

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.

Karamo Brown, famous for his pep talks on Netflix’s “Queer Eye,” has jumped into the wellness and AI space with his new app, Kē. After spending a year and a half focusing on his own journey—from fitness and nutrition to meditation, sobriety, relationships, and personal growth—Brown wants to help others do the same.  Kē offers […]

Innovations in agriculture focus on every facet of producing a crop, from developing hardier varieties to higher yields and better disease resistance to increased nutrition. … The post Healthier Food Through Gene Editing appeared first on SAIFood.

Google Health’s work to address issues and make improvements to the redesigned Android and iOS app continues today with version 5.02.

Newly released US files suggest Russia and China may be reverse-engineering UFOs, sparking debate on national security and transparency. The files raise more questions than answers about extraterrestrial technology.

Insilico Medicine will attend the BIO 2026 International Convention, held from June 22 to 25 at the San Diego Convention Center.

Almost every AI tool aimed at the NHS is built for clinicians. Frontier Health raised $16M to build for the people behind them. The London startup announced a $16M seed round led by Atomico, with firstminute capital and XYZ Venture Capital also taking part. It is the first institutional money into the company, founded in […] This story continues at The Next Web

As companies struggle to turn AI pilots into things they can actually rely on, a new startup is betting the fix looks less like a better chatbot and more like a mathematical proof. Pramaana Labs announced $27mn in seed funding on Wednesday, led by Khosla Ventures, with Accel, BoldCap, Nexus Venture Partners, Premji Invest, and […] This story continues at The Next Web

A University of Queensland breakthrough could soon be used to upgrade the world’s most prominent gene-editing technology to

With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI). In the U.S. alone, more than 600,000 cases are reported each year. If left untreated, gonorrhea can result in severe reproductive health issues, including infertility in both women and men and pelvic inflammatory disease. The infection also increases the risk of HIV transmission, and—if the pathogen spreads from the genitals or throat to other parts of the body—it can damage the heart and cause meningitis and sepsis.

Early isolation can be a biomarker for patients at increased risk for poor outcomes.

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.

Marjorie Taylor Greene cites soaring healthcare costs as Gallup data shows fewer Americans can afford medical care. Importance Rank:  1 read more

Humans may have hidden regenerative powers  ScienceDailyFrom Lab to Life: Humans Have Regenerative Powers  The Times of IsraelNew gene discovery brings human limb regeneration closer to reality  The Herald Insight

Humans may have hidden regenerative powers  ScienceDailyFrom Lab to Life: Humans Have Regenerative Powers  The Times of IsraelNew gene discovery brings human limb regeneration closer to reality  The Herald Insight

arXiv:2606.18536v1 Announce Type: new Abstract: The large-scale digitization of educational assessment has made the continuous oversight of item banks both essential and complex. This paper presents Analytics for Quality Assurance for Item Pools (AQuAP), a dashboard environment for monitoring item quality and item bank health. AQuAP supports the operational implementation of the large scale item generation procedures for high-stakes tests as included in the Item Factory, a framework for automated and human-supported test development. The paper describes AQuAP in relationship with the process of item development, outlines the broader metric framework for item-pool quality assurance, and highlights the Effective Bank Size (EBS) as one central indicator of pool vitality. EBS quantifies how many independent test sessions can be constructed before content repetition occurs and, when coupled with exposure and usage metrics, provides insight into item bank security, diversity, and

arXiv:2606.19270v1 Announce Type: cross Abstract: Artificial intelligence has driven rapid progress in medical imaging research, producing increasingly sophisticated algorithms and steady improvements on benchmark tasks. However, this algorithm-centric trajectory has also revealed a growing imbalance: while computational methods advance rapidly, the conceptual foundations that define imaging tasks, evaluation metrics, and clinical meaning sometimes remain underexamined. In this Perspective, we distinguish algorithmic innovation, which focuses on improving computational implementations and performance within a fixed problem definition, from conceptual innovation, which reframes what problems are posed, how success is measured, and why an approach is clinically relevant. We argue that prevailing incentive structures, training pathways, and publication norms disproportionately reward algorithmic novelty, particularly for early-career researchers, while at times undervaluing conceptual

arXiv:2606.19270v1 Announce Type: cross Abstract: Artificial intelligence has driven rapid progress in medical imaging research, producing increasingly sophisticated algorithms and steady improvements on benchmark tasks. However, this algorithm-centric trajectory has also revealed a growing imbalance: while computational methods advance rapidly, the conceptual foundations that define imaging tasks, evaluation metrics, and clinical meaning sometimes remain underexamined. In this Perspective, we distinguish algorithmic innovation, which focuses on improving computational implementations and performance within a fixed problem definition, from conceptual innovation, which reframes what problems are posed, how success is measured, and why an approach is clinically relevant. We argue that prevailing incentive structures, training pathways, and publication norms disproportionately reward algorithmic novelty, particularly for early-career researchers, while at times undervaluing conceptual

arXiv:2606.18536v1 Announce Type: cross Abstract: The large-scale digitization of educational assessment has made the continuous oversight of item banks both essential and complex. This paper presents Analytics for Quality Assurance for Item Pools (AQuAP), a dashboard environment for monitoring item quality and item bank health. AQuAP supports the operational implementation of the large scale item generation procedures for high-stakes tests as included in the Item Factory, a framework for automated and human-supported test development. The paper describes AQuAP in relationship with the process of item development, outlines the broader metric framework for item-pool quality assurance, and highlights the Effective Bank Size (EBS) as one central indicator of pool vitality. EBS quantifies how many independent test sessions can be constructed before content repetition occurs and, when coupled with exposure and usage metrics, provides insight into item bank security, diversity, and

arXiv:2606.19042v1 Announce Type: new Abstract: In vibe coding, an emerging AI-driven paradigm, an LLM generates an entire program from a natural language prompt, but what happens to the variability that traditional software engineering carefully builds into code? To answer this question, we conducted an exploratory analysis on 10 vibe coded C/C++ projects, which suggests that there is near-zero in-artifact variability, i.e., at compile and runtime. All variability decisions are resolved at a single new binding time, generation time, the moment the LLM produces the source code. Rather than treating this as a defect to fix, we propose Variability by Regeneration (VbR), to our knowledge the first product-line approach in which the LLM acts as the derivation engine, generating a purpose-built, free of dead code binary for each variant from a declarative specification, while a variant dispatcher transparently routes user requests to the matching binary. We formalise VbR, contrast it with

arXiv:2606.18816v1 Announce Type: new Abstract: Hybrid brain-computer interfaces (BCIs) that integrate motor imagery (MI) and steady-state visual evoked potentials (SSVEP) provide high-dimensional neural decoding but typically exceed the computational limits of embedded hardware. To address this, we propose SwitchBraidNet, a compact EEG classification architecture designed for low-power deployment. The model employs a dual-path temporal braid to extract multiscale oscillatory features, an adaptive squeeze-and-excitation spatial switch for electrode gating, and a log-variance readout layer for direct band-power encoding. Furthermore, through systematic quantisation-aware training on the OpenBMI dataset, we compared SwitchBraidNet against four established baselines across FP32, FP16, and INT8 precisions. Experimental results demonstrate superior efficiency and performance, achieving MI accuracy of 69.49% (FP16), SSVEP accuracy of 93.48% (FP32), and a hybrid information transfer rate of

Adeel Hassan / New York Times: As tech giants rush to build AI infrastructure, some residents living near data centers say a constant infrasonic vibration is ruining their health and homes  —  As tech giants rush to build infrastructure, some residents who live near data centers say a constant low-frequency vibration is ruining their health and homes.

CRISPR-терапия помогла при наследственном ангионевротическом отеке в третьей фазе испытаний

Richard Lawler / The Verge: Midjourney unveils its first hardware product, the Midjourney Scanner, an ultrasound-based full-body scanner; it is unclear how AI fits into the medical effort  —  The AI image generator says this side project will be ‘in many ways superior to even MRI machines.’

A two-study vignette experiment found that people attributed more responsibility to hospitals and were more likely to consider filing a complaint or taking legal action when missed diagnoses involved AI rather than a physician alone. Interactive physician involvement reduced negative reactions, while autonomous or sequential AI-human collaboration did not meaningfully improve responses compared with AI-only diagnosis.

The technology, still far from clinical use, could one day prevent devastating diseases. But critics warn that even these early results may also fuel interest in commercial embryo editing, despite unresolved ethical and safety concerns. The post Precise Gene Editing in Early Human Embryos Reignites the ‘Designer Baby’ Debate appeared first on SingularityHub.

In a groundbreaking advance poised to transform the landscape of age-related immune decline, University College London (UCL) researchers are spearheading a pioneering clinical trial aimed at rejuvenating worn-out T cells through an innovative immune restoration therapy. This Phase 1 first-in-human study will explore the therapeutic potential of metabolically resetting exhausted or senescent T cells, a […]

This Is How Often To Move Your Body if You Want To Live Longer  TODAY.comColumn | This exercise ‘sweet spot’ is linked to greater longevity  The Washington PostHow weight lifting can help you stay healthier as you age  BBCHow much weightlifting do you really need? New study finds a sweet spot for living longer  WZTVScientists found the strength training sweet spot for a longer life  ScienceDaily

This Is How Often To Move Your Body if You Want To Live Longer  TODAY.comColumn | This exercise ‘sweet spot’ is linked to greater longevity  The Washington PostHow weight lifting can help you stay healthier as you age  BBCHow much weightlifting do you really need? New study finds a sweet spot for living longer  WZTVScientists found the strength training sweet spot for a longer life  ScienceDaily

In an unprecedented advancement for neurodegenerative disease research, a team led by Busquets, Li, Syed, and colleagues has unveiled iSCORE-PD, an innovative isogenic stem cell repository designed explicitly to accelerate Parkinson’s disease studies. Published in Nature Communications in 2026, this comprehensive collection represents a pivotal leap toward resolving the complex pathophysiology of Parkinson’s, a condition […]

Telepatia, an AI clinical assistant built for Latin American healthcare, has raised $33 million in a Series A led by Andreessen Horowitz. The company wants to reach half of the region’s 1.9 million doctors by the end of 2027. Total funding is now $42 million, with early backers including Palantir CTO Shyam Sankar, Rappi founder […] This story continues at The Next Web

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Researchers at Mass General Brigham recently developed BRIDGE, a multilingual benchmark that evaluates how well large language models (LLMs) understand clinical patient care text, including language used in electronic health records (EHRs), across nine languages. The benchmarking tool could help clinicians evaluate and compare LLMs for use in specific contexts. Results are published in Nature Biomedical Engineering.

"Truly evil" FDA rejection of gene therapy overturned after Trump official ousted  Ars TechnicaWhy Biotech Stocks Are Celebrating This Nail-Biter  Investor's Business DailyUniQure Shares Soar After FDA Reversal on Its Huntington’s Therapy  Bloomberg.comuniQure: FDA's Latest Stance On Huntington's BLA Sends Stock Soaring (NASDAQ:QURE)  Seeking AlphaUniQure to seek FDA approval for Huntington's disease gene therapy after previous clash with agency  CNBC

"Truly evil" FDA rejection of gene therapy overturned after Trump official ousted  Ars TechnicaWhy Biotech Stocks Are Celebrating This Nail-Biter  Investor's Business DailyUniQure Shares Soar After FDA Reversal on Its Huntington’s Therapy  Bloomberg.comuniQure: FDA's Latest Stance On Huntington's BLA Sends Stock Soaring (NASDAQ:QURE)  Seeking AlphaUniQure to seek FDA approval for Huntington's disease gene therapy after previous clash with agency  CNBC

A new gene therapy appears to be safe in patients diagnosed with Friedreich ataxia cardiomyopathy, a progressive and fatal inherited cardiac disease, according to a phase 1 clinical trial led by Weill Cornell Medicine researchers. The treatment may also reduce heart damage, although further investigation is needed.

Novo Nordisk investigates claims by cyber group FulcrumSec alleging a 1.3TB data theft after a failed $25M ransom demand. Read more. Importance Rank:  1 read more

A groundbreaking advancement in photonic technology promises to redefine the landscape of medical artificial intelligence (AI) diagnostics, as a research consortium led by Professor Han Zhang at Shenzhen University has unveiled a novel all-fiber photonic AI platform utilizing black phosphorus (BP)-based tunable modulators. This innovative approach, which hinges on photon-based computing, surmounts the intrinsic constraints […]

RAMRS consists of two modules. The first, robot‑assisted osteotomy, uses an optical tracking system and a collaborative robotic arm to guide the bone saw. A hand‑eye calibration procedure determines the exact pose of the robot's end‑effector relative to a tracking marker.

Michael Peel / Financial Times: Studies: Mira, an AI medical tool developed by researchers in Germany, and Google's Amie matched or surpassed doctors on diagnostic and treatment decisions  —  Two health models displayed clinical value across a range of diagnostic and treatment decisions, studies show

Gene therapy company UniQure had another FDA meeting after Vinay Prasad's exit.

A new gene therapy appears to be safe in patients diagnosed with Friedreich ataxia cardiomyopathy, a progressive and fatal inherited cardiac disease, according to a phase 1 clinical trial led by Weill Cornell Medicine researchers.

Insilico Medicine ("Insilico", HKEX: 3696), a clinical-stage biotechnology company powered by generative artificial intelligence (AI), today announced it has achieved the first clinical milestone in its co-development collaboration with Hygtia Therapeutics with the completion of first-in-human dosing in the Phase I study of ISM8969.

The announcement comes months after UniQure became embroiled in a public debate with FDA leaders over the clinical trial data supporting its application.

Honor has officially shown off its Android 17 update, MagicOS 11, which is easily the most blatant copy of Apple’s Liquid Glass design language we’ve seen to date.

The announcement comes months after UniQure became embroiled in a public debate with FDA leaders over the clinical trial data supporting its application.

The announcement comes months after UniQure became embroiled in a public debate with FDA leaders over the clinical trial data supporting its application.

An independent U.K. innovation center has developed a continuous bioprocess to improve productivity and reduce costs of advanced therapies. The new platform performs as well, or better, than batch methods. The post Continuous Production Platform Offers New Gene Therapy Options appeared first on GEN - Genetic Engineering and Biotechnology News.

In a groundbreaking advancement that merges neurosurgery and cutting-edge biomedical engineering, University of Michigan Health has achieved the first-ever human implantation of Paradromics Inc.’s Connexus wireless brain-computer interface (BCI). This pioneering clinical trial ushers in a new era of potential treatment options for individuals impaired by severe speech difficulties caused by neurological disorders. The procedure […]

In a landmark achievement for the field of neurotechnology, neurosurgeons at the University of Michigan Health have successfully completed the first human implantation of the Paradromics Connexus wireless brain-computer interface (BCI). This groundbreaking procedure, executed as part of a national early feasibility clinical trial, marks a significant advancement toward restoring communication for individuals afflicted with […]

USDA researchers gene-edited lettuce to block red pigment, triggering beneficial flavonoid and antioxidant accumulation — without altering growth or appearance. June 15, 2026.

A revolutionary leap in maxillofacial reconstructive surgery has been unveiled with the development of an integrated system that combines robot-assisted osteotomy and augmented reality (AR) guidance. This groundbreaking approach, spearheaded by a team of researchers at the Beijing Institute of Technology, is set to redefine surgical precision in complex facial bone reconstructions. The system, known […]

Scientists have taken a surprising step toward unlocking regeneration in mammals, showing that the ability to rebuild complex body parts may not be lost after all—it may simply be switched off. Using a two-stage treatment, researchers redirected the body’s normal healing response away from scar formation and toward regrowth, successfully restoring bone, joints, ligaments, and tendons after amputation in animal studies.

Neurosurgeons at University of Michigan Health completed the first-in-human implant of a Paradromics Inc., wireless brain-computer interface, or BCI, as part of a national clinical trial for patients with difficulty speaking.

Why “Less Harm” Isn’t Enough Anymore: For years, sustainability has been pitched like a diet plan for business: reduce emissions, reduce waste, reduce water use, reduce risk. And to be fair, all of that still matters. A lot. But you can feel the conversation shifting. More companies are asking a question that’s a little awkward, […] This information The Rise of the Regenerative Economy, Moving Beyond Sustainability appeared first on AgriFarming

Medical large language models (LLMs) are increasingly being used in clinical settings. For example, AI is helping doctors in emergency rooms flag diagnoses or support decisions. The problem is that most of these systems are proprietary: Their training data, design choices and decision-making processes are hidden from view, making independent review virtually impossible.

British wheat grown under regenerative farming standards is set to be used in KitKat wafers as Nestlé expands a trial with Wildfarmed. Th...

Artificial intelligence can help predict a patient's risk for conditions such as sepsis, heart disease and cancer. But many of these tools fall short in real-life clinical practice because they are difficult for doctors to interpret and trust. Researchers at UC San Francisco have developed a new way to use AI to build clinical prediction tools that combines the speed of artificial intelligence with the judgment of human experts.

The European Union has adopted a regulation allowing streamlined approvals for gene-edited plants — a development that seed and biotech companies are lauding as a breakthrough on a continent known for its strict oversight of agricultural production.

Chatbots have already wormed their way into the U.S. health-care system.

arXiv:2605.08827v2 Announce Type: replace Abstract: The safety of mental health AI is often judged at the wrong temporal scale. Current evaluations typically score isolated responses, endpoint outcomes, or aggregate dialogue quality, while clinically consequential failures may arise from the order and accumulation of interactions themselves, including delayed escalation, repeated reinforcement, dependency formation, failed repair, and gradual deterioration across turns. This paper argues that this mismatch is not merely a limitation of evaluation coverage but a source of invalid safety conclusions. We introduce Temporal Safety Non-Identifiability, a formal account of why safety properties that depend on sequence, timing, accumulation, or recovery cannot be certified by protocols that discard those features. From this formalization, we develop SCOPE (Safety Claims Over Preserved Evidence) as a general principle for aligning safety claims with the evidence an evaluation actually

arXiv:2606.18068v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) and multi-agent systems have driven the rise of Agentic AI, showing promise for medical reasoning. However, open-ended conversational agents remain prone to two critical failure modes: premature diagnostic handoff and silent clinical hallucinations that may go undetected before reaching the patient. In this work, we propose a multi-agent framework that addresses both issues by replacing ``LLM-as-a-judge'' routing with deterministic orchestration constraints. The framework incorporates two safety mechanisms. First, a neuro-symbolic state-tracking gate enforces completeness of the OLDCARTS clinical protocol (Onset, Location, Duration, Character, Aggravating/Alleviating factors, Radiation, Timing, and Severity) by blocking diagnostic transitions until all required dimensions are collected. Second, an epistemic uncertainty quantification (UQ) gate computes semantic entropy (H) across K=5

arXiv:2606.17973v1 Announce Type: new Abstract: Depression is the leading cause of disability worldwide, and early detection of symptom change is essential for timely intervention. Validated instruments such as the Patient Health Questionnaire-9 (PHQ-9) support symptom monitoring at scale, but real-world completion rates are low, introducing response bias and systematic missingness. Passive approaches that infer severity from routinely generated data could close this gap. We address this by predicting PHQ-9 total scores directly from transcripts of conversations between users and an AI mental health application, requiring only conversation text and no additional clinical data. We fine-tune a Qwen3.5-27B backbone with a regression head, augment 3,111 ground-truth labels with pseudolabels generated by a reasoning model (Claude Opus) and iteratively trained intermediate models, for a combined dataset of 6,283 users. On a held-out test set of 842 users, our best model achieves MAE = 2.6,

arXiv:2606.17639v1 Announce Type: new Abstract: Generalist embodied agents require more than object recognition: they must reason about spatial relations, actions, procedures, human intentions, environmental constraints, and commonsense consequences from situated visual observations. Yet existing visual and embodied question answering benchmarks often provide limited control over the reasoning dependencies being tested, making it difficult to distinguish grounded embodied reasoning from shortcut-driven visual or linguistic pattern matching. We present ERQA-Plus, a diagnostic benchmark for reasoning in embodied AI. ERQA-Plus contains 1,766 question-answer instances grounded in 711 robot-centric images and organized according to a structured taxonomy spanning perceptual, action-centric, social-interaction, navigation-environmental, and contextual commonsense reasoning. The dataset is constructed using a multi-stage generation and validation pipeline that combines taxonomy-guided

⁠Norway’s Crown ⁠Princess Mette-Marit has undergone a ⁠successful lung transplant and is recovering from the procedure, the royal household said in a statement on Wednesday. The 52-year-old wife of Crown Prince Haakon, the ‌heir to the Norwegian throne, was diagnosed with pulmonary fibrosis in 2018, a chronic disease that causes scarring in the lungs and leads to reduced oxygen uptake. Oslo University Hospital on June 5 said Mette-Marit had been placed on ⁠a waiting list for a lung transplant...

Three in four licensed psychologists in the U.S. report that their patients have spoken about using AI — with at least one-third reporting use for self-diagnosis, help with self-discipline or behavioral reminders, or as an assist in therapy. This is the top-line finding in the 2026 Chatbots and Mental Health Survey from the American Psychological Association (APA). This is among the first such study into patients’ use of AI for mental health support.             APA conducted the survey among 1,242 licensed psychologists in the U.S. in April 2026, In this early phase of patients adopting AI in mental health, it’s no surprise that the vast majority of psychologist worry that chatbots may cause unexpected harm: 97% believe that chatbots could inadvertently reinforce negative behaviors or dysfunctional beliefs 94% worry today’s chatbots cannot treat conditions with an appropriate amount of nuance 93% are concerned that using AI to

Among the body's most crucial protective features are the brain barrier systems, including the blood-brain and blood-cerebrospinal fluid (CSF) barriers. These barriers are made of highly specialized cells that allow essential nutrients to enter, yet repel dangerous toxins and pathogens that may be circulating in the bloodstream. Scientists have long known what these barriers do, but less about how they are built during development.

The collaboration, launched through a multi-target discovery collaboration and license agreement, is designed to combine Merck’s global expertise in discovering novel therapeutics with Protillion’s Prot-MaP ™ on-chip antibody discovery platform, short for Protein Display on a Massively Parallel Array. The post Merck, Protillion Launch AI Drug Discovery Collaboration with Up-to-$510M in Milestone Payments appeared first on GEN - Genetic Engineering and Biotechnology News.

Using artificial intelligence, scammers can duplicate someone's voice with just seconds of audio, says the University of Cincinnati's Kimberly Hyun. Impostor scams are one of the most common forms of fraud, according to the Federal Trade Commission.