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The base Eclipse Sportback EV is $8,000 more expensive than the entry-level 2027 Leaf.

The freshwater polyp Hydra oligactis is essentially immortal and reproduces asexually by cloning itself. Except when it gets too cold: then the animal switches to sexual reproduction, begins to age, and eventually dies. A research team at the University of Innsbruck has now investigated the metabolic changes that accompany this process. One of the findings: the aging process is accompanied by a sharp decline in taurine.

Dr. Dennis Slamon, a pioneering oncologist and researcher at the UCLA Health Jonsson Comprehensive Cancer Center, has been awarded the 2026 Albany Prize for discoveries that transformed the understanding and treatment of cancer.

By analyzing heart rhythm recordings and blood tests, artificial intelligence may accurately flag when a transplant patient's body starts attacking a donated heart, a new study suggests.

Patient names, Social Security numbers, doctors and diagnoses might have been breached in the cyberattack.

A systematic review of 31 preclinical studies finds that mesenchymal stem cell therapy can modulate gut microbiota across multiple disease models, yet the evidence does not establish an antihypertensive effect.

A new research paper was recently published in Volume 18 of Aging, titled "Spatially fractionated mini-GRID radiotherapy differentially modulates radiation-induced senescence in murine glioma and normal cells."

 2026 Nobel Prize in Medicine Awarded for Brain Research The 2026 Nobel Prize in Physiology or Medicine has been awarded to three scientists. Their work focused on understanding how the activity of individual nerve cells (neurons) in the brain can be switched on and off. The winners of the 2026 Nobel Prize in Medicine are […] The post 2026 Nobel Prize in Medicine Awarded to Three Scientists for Brain Research appeared first on BioTecNika.

By analyzing heart rhythm recordings and blood tests, artificial intelligence may accurately flag when a transplant patient's body starts attacking a donated heart, a new study suggests.

A new EU-funded flagship initiative to harness the power of health data and artificial intelligence (AI) across the continuum of cardiovascular care has been launched, with funding from the EU4Health Program.

Detecting impaired motor function as early as possible after birth with the help of a standard camera linked to intelligent systems can help diagnose infantile conditions characterized by hypotonia: reduced muscle tone, which can limit active movement. A research team is investigating this approach based on work carried out on babies with spinal muscular atrophy (SMA), a rare genetic neuromuscular disorder.

Ischemic stroke can leave lasting neurological damage after the initial vascular event, with oxidative stress, neuroinflammation, neuronal death, and disruption of neural connectivity contributing to impaired recovery.

In early 2024, laboratory-grown neurospheres (i.e. clusters of neural stem cells) were sent to the International Space Station (ISS) to be exposed to microgravity. The return trip was delayed several times due to bad weather in the landing zone. As a result, the cells were outside controlled culture conditions for longer than anticipated—beyond the limit of what they were expected to survive.

Researchers have engineered fully human, follicle-mimetic ovarian spheroids that drive endometrial organoid folding and secretory differentiation in ways static hormone supplementation cannot replicate.

Researchers in Nanjing developed an interpretable machine learning model that analyzes MRI tumor subregions to predict prostate cancer aggressiveness noninvasively before biopsy.

People who are overweight or obese when they are diagnosed with dementia are likely to live longer than those in a normal weight range, according to a new study by Columbia University Mailman School of Public Health and NYU School of Global Public Health.

Six physician groups say AI is not better informed than doctors after RFK Jr.'s summit remarks. Here is how to use AI chatbots safely and with care.

Researchers in China have developed a structure-adaptive Belief Rule Base tuned by an improved whale optimization algorithm that automates heart disease diagnosis while keeping the model interpretable.

A Chinese research team has built a radiomics and deep learning model that predicts brain invasion in meningiomas from routine preoperative MRI scans with moderate accuracy across two hospitals.

A scoping review of 65 studies finds that patient-facing AI tools in primary care are widely accessible to the public while safety and access outcomes remain strikingly under-evaluated.

Chronic exposure to cigarette smoke may reprogram different populations of lung stem cells, which maintain and repair lung tissue, in ways that make them vulnerable to specific cancer-causing gene alterations and ultimately helps determine the type of lung cancer that develops.

Karl Deisseroth, Peter Hegemann, and Georg Nagel have been awarded the 2026 Nobel Prize in Physiology or Medicine for their work in developing optogenetics — a technique which makes it possible to show how nerve cells shape memories, feelings, and behaviors in the living brain. Deisseroth, Hegemann, and Nagel were awarded 12 million SEK ($1.2 million) to be shared equally. After Peter Hegemann and Georg Nagel discovered channelrhodopsin could make cells light-sensitive, Karl Deisseroth found that it could be applied to nerve cells, eventually creating a method to switch nerve cells on and off in living mice. Courtesy of the Nobel Committee for Physiology or Medicine/Mattias Karlén. In the early 2000s, Hegemann and...

Lifelong Oversight for AI Medical Devices A hip implant does not rewrite itself after it leaves the factory.

A systematic review of nine studies finds that therapy-related myeloid neoplasms after CAR-T therapy emerge earlier and carry worse survival than after autologous stem cell transplantation, with clonal haematopoiesis mutations in DNMT3A, TET2, and TP53 as shared drivers.

Nilay Patel / The Verge: Q&A with Senator Adam Schiff on recursive AI becoming a real national security threat, making AI companies retain training data, needing an FDA for AI, and more  —  Today, I'm talking with Senator Adam Schiff, a Democrat from California.  Sen. Schiff sits on a number of committees …

A qualitative study of twenty older lung transplant recipients in China identifies the beliefs, capacities, and support structures that determine whether bone-protecting self-management survives after hospital discharge.

arXiv:2610.03975v1 Announce Type: new Abstract: The rapid build-out of hyperscale computing for artificial-intelligence workloads has made data-center noise a recurring source of community concern in the United States, yet calibrated, standards-grade acoustic data remain scarce. This narrative review synthesizes direct measurements, regulatory and legal records, investigative journalism, and relevant engineering literature to assess what is currently known and identify the measurements needed for credible health inference. Available sources report heterogeneous acoustic values at residences, property lines, and near-source positions, with individual readings from 39 to above 70 dB(A). Because location, metric, duration, instrumentation, and provenance differ, these values are not directly comparable community exposures, do not define a pooled distribution, and do not support an aggregate comparison with nighttime limits. Among cases with spectral detail, all but one reported

arXiv:2610.06723v1 Announce Type: cross Abstract: The no-cloning theorem is a cornerstone result in quantum mechanics that forbids copying of general quantum information. More quantitatively, even given $N$ copies of an unknown state, any channel producing an $(N+1)$-copy state incurs a nonzero trace-distance error on some inputs. Turning this around, one can ask about the sample complexity of approximate $N\rightarrow N+1$ cloning: for a desired small error $\epsilon$, what $N$ suffices? For arbitrary pure states on a Hilbert space $H$, the answer is $N\simeq \dim H/\epsilon$ - astronomically large for most $H$ of interest. What if the input is promised to lie in a structured family? We examine a range of families fundamental to many-body physics and quantum information: $n$-mode fermionic Gaussian and Slater states, $n$-mode bosonic Gaussian states, and qudit phase states. For fermions, we construct optimal cloning channels, reducing the complexity from exponential to polynomial in

arXiv:2610.03780v1 Announce Type: new Abstract: Time-dependent, three-dimensional (3D) oceanic multi-variables define coherent states of the evolving ocean to facilitate ocean diagnosis and advance ocean science to better inform environmental and hazard management. However, extracting quantitative evidence from these variables requires substantial and complex analytical effort. We introduce OceanMind, a multi-agent AI system that directly couples large language models (LLMs) with comprehensive time-dependent 3D ocean states for swift and effective diagnosis. OceanMind organizes the analytical process into four coordinated complexity stages: Query Routing, Skill-based Planning, Tool Execution, and Evidence-based Summary Generation. Specialized agents interpret user requests, construct and execute multi-step computational workflows, and synthesize quantitative evidence. To ensure reliable workflow construction, 63 reusable ocean-specific analysis skills serve as procedural manuals that

In a preliminary study of 13 patients with cancer, first-line fecal transplants resolved immunotherapy-related colitis in 10, with symptoms improving in a median of just 1.5 days.

A new review charts the rapid rise of AAV-mediated OTOF gene replacement therapy, from the first human trials to the first FDA approval for congenital deafness.

A three-year randomized trial within PREDIMED-Plus found that an intensive energy-reduced Mediterranean diet intervention reduced food addiction symptoms and improved weight and cardiometabolic outcomes, but baseline food addiction limited adherence and blunted long-term benefits.

A research team led by Associate Professor Yohei Funakoshi, Associate Professor Kimikazu Yakushijin, and Professor Hironobu Minami of the Division of Medical Oncology/Hematology at Kobe University Hospital, together with Associate Professor Goh Ohji of the Division of Infectious Disease Therapeutics and Takaji Matsutani of Anymics Inc., has developed the pGen-SHM plot.

University of Illinois Chicago researchers report that women in the Sardinian village of Bolotana are nearly three times as likely as American women to reach age 100 after surviving to 70, with ages validated through centuries of municipal and church records.

A new study of the hydrozoan jellyfish Cladonema pacificum shows that aging dismantles stem cell maintenance, wound healing, and blastema formation, constraining regeneration even in early-branching animals with robust regenerative powers.

A new framework in AI & Society proposes standardizing expert–AI interactions into measurable fields so that language-model judges can detect risky behavior in deployed systems through epidemiological-style surveillance.

A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images of melanoma and benign nevi with 94.35 percent accuracy while offering explainable visual justifications for its decisions.

Researchers developed a method for testing how closely lab-grown blastoid models resemble real human embryos, finding that while some models perform well, none fully captures the complexity of early human development. The post A Method for Assessing Lab-Grown Stem Cell-Derived Embryo Models appeared first on GEN - Genetic Engineering and Biotechnology News.

A comprehensive new review in Neural Computing and Applications charts how machine learning and deep learning are transforming lymphoma diagnosis across PET, MRI, CT, and digital pathology.

A terracotta-tiled village in the mountains of Sardinia may offer researchers a rare opportunity to uncover the secrets of exceptional longevity.

Chronic exposure to cigarette smoke may reprogram different populations of lung stem cells, which maintain and repair lung tissue, in ways that make them vulnerable to specific cancer-causing gene alterations and ultimately help determine the type of lung cancer that develops.

A research team led by associate professors Yohei Funakoshi and Kimikazu Yakushijin and Professor Hironobu Minami of the Division of Medical Oncology/Hematology at Kobe University Hospital, together with Associate Professor Goh Ohji of the Division of Infectious Disease Therapeutics and Takaji Matsutani of Anymics Inc., has developed the pGen-SHM plot.

Pascal Soriot spoke exclusively with CNBC from the site of AstraZeneca's new $1 billion R&D facility in Kendall Square in Cambridge, Massachusetts.

A new commentary in Discover Plants argues that genomics, CRISPR genome editing, and tissue culture must be integrated with conventional breeding to develop climate-resilient, nutrient-rich vegetable cultivars as warming threatens global production.

US and German scientists win Nobel medicine prize for work on light and brain  ReutersNobel Prize in Physiology or Medicine Is Awarded for Discoveries in Neuroscience  The New York TimesControlling the brain with light earns a physiology Nobel  arstechnica.comKarl Deisseroth Awarded the 2026 Nobel Prize in Physiology or Medicine  HHMIStanford professor wins Nobel Prize in physiology or medicine  KRON4

US and German scientists win Nobel medicine prize for work on light and brain  ReutersNobel Prize in Physiology or Medicine Is Awarded for Discoveries in Neuroscience  The New York TimesControlling the brain with light earns a physiology Nobel  arstechnica.comKarl Deisseroth Awarded the 2026 Nobel Prize in Physiology or Medicine  HHMIStanford professor wins Nobel Prize in physiology or medicine  KRON4

Imagine losing an arm and simply growing a new one. This amazing ability of regeneration isn't just something from a superhero movie—it actually happens in real life for some animals.

Annika Inampudi / Bloomberg: In a first-of-its-kind pilot in the US, Nolla Health will use AI to diagnose and prescribe acne medications to Utah patients without direct human oversight  —  In a first-of-its-kind pilot, Nolla Health lets AI diagnose and issue prescriptions.  —  An AI-based healthcare startup on Monday …

Researchers at Sylvester Comprehensive Cancer Center have published a framework for building AI tools that personalize evidence-based support for cancer survivors between clinic visits while preserving clinical oversight.

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.

Karl Deisseroth, Peter Hegemann and Georg Nagel have won the 2026 Nobel Prize in Physiology or Medicine. The prize rewards optogenetics, a method that switches nerve cells on and off with light. The Nobel Assembly at Karolinska Institutet in Stockholm announced it on Monday, according to its press release. Deisseroth works at Stanford University and […] This story continues at The Next Web

Today, the 2026 Nobel Prize for Physiology and Medicine has been awarded to Karl Deisseroth, MD, PhD, Peter Hegemann, PhD, and Georg Nagel, PhD, for their discoveries of light-gated ion channels and optogenetics. The post 2026 Nobel Prize for Physiology and Medicine Goes to Optogenetics, Light-Gated Ion Channels appeared first on GEN - Genetic Engineering and Biotechnology News.

Karl Deisseroth, 54, Peter Hegemann, 71, and Georg Nagel, 73, have carried out research into light-gated ion channels and optogenetics. The post Nobel medicine prize goes to 3 scientists for research into brain activity appeared first on Boston.com.

Karl Deisseroth, Peter Hegemann and Georg Nagel are joint winners of the 2026 prize The post Inventors of optogenetics win Nobel Prize in Physiology or Medicine appeared first on Physics World.

Researchers have developed engineered feeder cells derived from induced pluripotent stem cells that prolong the survival and boost the killing power of natural killer cells, offering a tumor-free route to scalable cancer immunotherapy manufacturing.

A study reveals that AI use by doctors can lead to negative perceptions, especially among younger patients, impacting trust and willingness to follow advice.

Findings suggest systemic environment affects biological age of transplanted hearts, with implications for improving organ allocation in transplantation.

A randomized preregistered trial of 2,400 laypeople in China found that a GPT-4o-based respiratory chatbot embedded in WeChat outperformed conventional web search on diagnostic accuracy across 88 clinical vignettes.

Researchers built an explainable random survival forest model that predicts overall and cancer-specific survival in postoperative gastrointestinal stromal tumor patients, with an online calculator for individualized prognosis.

Nobel Prize in medicine awarded to three scientists for their work ‘concerning light-gated ion channels and optogenetics’  CNNNobel Prize in medicine goes to 3 scientists for brain activity research  WANE 15Nobel Prize in Physiology or Medicine Is Awarded for Discoveries in Neuroscience  The New York TimesGerman and US scientists win Nobel medicine prize for work on optogenetics  ReutersPress release: Nobel Prize in Physiology or Medicine 2026 - NobelPrize.org  NobelPrize.org

Nobel Prize in medicine awarded to three scientists for their work ‘concerning light-gated ion channels and optogenetics’  CNNNobel Prize in medicine goes to 3 scientists for brain activity research  WANE 15Nobel Prize in Physiology or Medicine Is Awarded for Discoveries in Neuroscience  The New York TimesGerman and US scientists win Nobel medicine prize for work on optogenetics  ReutersPress release: Nobel Prize in Physiology or Medicine 2026 - NobelPrize.org  NobelPrize.org

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.

Karl Deisseroth, Georg Nagel and Peter Hegemann developed optogenetics, which uses light and genetics to control individual cells

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.

STOCKHOLM — American Karl Deisseroth and Germans Peter Hegemann and Georg Nagel won the 2026 Nobel Prize in Physiology or Medicine on Monday for their discoveries on light and optogenetics that have helped understand how the brain works. The Nobel Assembly of Sweden's Karolinska Institute medical university said Deisseroth, 54, Hegemann, 71, and Nagel, 73, were selected for their "discoveries concerning light-gated ion channels and optogenetics." Optogenetics "makes it possible to switch on, or off, the activity of individual nerve cells in a living brain," said Thomas Perlmann, Secretary-General of the Nobel Assembly at Karolinska Institutet. "This method is now being used in laboratories around the world to reveal the brain’s mysteries," Perlmann said. In clinical trials, researchers are restoring vision to people blinded by a condition called retinitis pigmentosa by inserting a light-sensitive protein in the retina. Researchers also hope optogenetics could improve cochlea implants,

The Nobel Prize in medicine was awarded Monday to U.S. psychiatrist and neurologist Karl Deisseroth and his German colleagues Peter Hegemann and Georg Nagel for their work in the field of optogenetics.

Any sufficiently complex biological data that changes with age can be used to construct an aging clock. Here, researchers report on a clock derived from images of the nuclei of hematopoietic stem cells. Nuclear DNA exhibits structural changes in response to circumstances, regulated by epigenetic decorations to DNA and its supporting proteins, as regions unfold or are compacted. The structure of DNA determines which gene sequences are exposed to translation machinery, and thus whether or not a given gene is expressed. Some of these structural changes are characteristic of aging, and thus machine learning approaches should be able to visualize age-related differences in imaging. The functional decline of the hematopoietic system during aging affects organismal function and contributes to reduced healthspan. Quantifying hematopoietic aging holds […]

Three scientists to share 12m Swedish kronor prize for their work on ‘light-gated ion channels and optogenetics’ The Nobel prize in physiology or medicine 2026 has been awarded to three scientists for their work on investigating the mysteries of the brain. Karl Deisseroth of both Howard Hughes Medical Institute and Stanford University, Peter Hegemann of the Humboldt University of Berlin, and Georg Nagel of the University of Würzburg have been awarded the prize “for their discoveries concerning light-gated ion channels and optogenetics.”. Continue reading...

Karl Deisseroth, Peter Hegemann and Georg Nagel were selected as the winners

Karl Deisseroth, Peter Hegemann, Georg Nagel were awarded the prize for their work on light-gated ion channels and optogenetics.

Karl Deisseroth, Peter Hegemann, Georg Nagel were awarded the prize for their work on light-gated ion channels and optogenetics.

Karl Deisseroth, Peter Hegemann, Georg Nagel were awarded the prize for their work on light-gated ion channels and optogenetics.

The 2026 Nobel Prize season opened on Monday with the Medicine Prize being awarded to Karl Deisseroth, Peter Hegemann and Georg Nagel for their research into light-gated ion channels and optogenetics. The prize was announced at the Karolinska Institute in Stockholm, kicking off Nobels week. Their work was lauded by the committee “for discoveries leading to optogenetics, which makes it possible to switch on, or off, the activity of individual nerve cells in a living brain.” “This method is now...

A real-world study of fifty multiple myeloma patients found that high-dose melphalan with autologous stem cell transplantation doubled complete response rates and that patients with sustained minimal residual disease negativity for one year experienced no relapses.

arXiv:2610.03593v1 Announce Type: cross Abstract: Quantum fire is a recently introduced cryptographic primitive consisting of efficiently preparable quantum states, called \emph{flames}, that admit efficient cloning but resist efficient telegraphing, namely reconstruction via classical communication without preshared entanglement. In all prior constructions of quantum fire, cloning is a public operation that requires no separate key and every holder of a flame state can clone it. For applications to access control, however, an issuer may wish to delegate cloning to designated quantum servers while withholding this capability from other flame holders. To address this, we introduce \emph{delegatable quantum fire}, in which cloning requires a separate key. We give two constructions in the classical-oracle model. Our first construction uses a classical secret key which enables cloning, and any user with the entire key may clone successfully. Our second construction, which we call

arXiv:2610.03537v1 Announce Type: new Abstract: Endovascular brain-computer interfaces (BCIs) avoid craniotomy but require precise device delivery through anatomically variable cerebral veins. This work presents the first demonstration of in vitro autonomous robotic navigation for endovascular BCI access in the cerebral venous system. Soft Actor-Critic controllers were trained in silico for two sequential tasks spanning the right internal jugular vein to the superior sagittal sinus, using geometric augmentation of one training anatomy. Navigation was evaluated in a training anatomy and an anatomically unseen hold-out model over 250 in silico episodes and five fluoroscopy-guided in vitro robotic runs per task-anatomy condition, comprising 1,000 simulated episodes and 20 physical runs overall. Task recurrent predictors were also evaluated for online identification of impending navigation failure. In silico success rates for Tasks A and B were 85.6% and 98.4% in the training anatomy and

arXiv:2610.02812v1 Announce Type: new Abstract: Young adults of color (YOC) face heightened mental health challenges and barriers to care while navigating developmental and life transitions. Situated between youth-oriented safeguards and adult-oriented AI systems, little is known about how they use AI chatbots for mental health and well-being support or how sociocultural contexts shape their expectations, concerns, and design preferences. We conducted a two-day co-design workshop with 13 Asian, Black, and Hispanic/Latino/a young adults aged 18--24. Participants found generic chatbot advice to flatten their lived experiences; rather than making incorrect assumptions, they wanted more opportunities for identity-informed disclosure. Preferences for YOC-centered personalization also revealed gaps in privacy and AI literacy. Participants negotiated different therapeutic roles for chatbots and sought greater AI accountability and user agency, highlighting blurred boundaries between clinical

arXiv:2610.02486v1 Announce Type: new Abstract: Typed decision models answer schema-constrained questions about a text in one forward pass and return probabilities meant to be thresholded. We ask whether biomedical sentence encoders trained for retrieval are good starting points for such models. We present SBERT2S1, which converts Sentence-Transformers encoders into bi-encoder, cross-head (C) and prior-fused residual (PFR) decision models, together with BIODECIDE, a biomedical typed-decision suite, and MEDLINE-S1, 243k training decisions derived from NLM indexing. Across six parent-retriever pairs, retrieval training improves zero-shot matching of content-bearing options. After fine-tuning, its effect depends on the head: across five pairs and three training-set sizes, retrieval training significantly helps PFR, which keeps the retrieval prior, in 10 of 15 comparisons, but helps C in one and hurts it in five. A matched grid of two heads and five training objectives shows that C

A two-center study shows that radiomic analysis of MR cytometry parameter maps outperforms mean-value-based diffusion MRI metrics for distinguishing benign from malignant breast lesions.

The latest volume of SLAS Discovery showcases how artificial intelligence, deep learning and data-mining strategies are accelerating drug discovery across oncology, infectious disease and immunology.

A meta-analysis of 34 studies covering over 4.2 million people finds that high adherence to the Mediterranean diet is associated with 38 to 45 percent lower risks of head and neck, gastric, and liver cancers.

Chinese researchers show that a ChatGPT-4-based framework can assess the quality of lactational mastitis videos on Douyin with near-perfect agreement with human experts and at nearly three times the speed.

The prize winners in other nominations will be announced in the coming days

Researchers used machine learning, docking, and molecular dynamics to transform Traditional Chinese Medicine compounds into optimized computational leads against E. coli DNA gyrase B.

A new comprehensive review finds that deer antler velvet is packed with growth factors and bioactive compounds, but warns that clinical evidence and standardization lag far behind the hype.

New research shows that chronic IRE1α-mediated endoplasmic reticulum stress simultaneously boosts melanin production and impairs pigment clearance, explaining why solar lentigines persist.

A new systematic review finds that hybrid deep learning and metaheuristic optimization frameworks achieve 98 to 100 percent accuracy in detecting copy-move image forgeries, while identifying robustness and generalization as the field's key remaining challenges.

A double-blind randomized trial found that an inexpensive N-acetylcysteine mouthwash significantly reduced severe oral mucositis in hematopoietic cell transplant recipients, even though it did not lower the overall incidence of the condition.

A 'reality check' for lab-grown human embryo models  Phys.orgThey look like human embryos, but scientists say something is still missing  Tech ExploristLab-grown Embryo Models are Getting Closer to the Real Thing  LabcompareNew computational benchmark reveals how closely lab-grown embryo models match real human development  Bioengineer.org

A 'reality check' for lab-grown human embryo models  Phys.orgThey look like human embryos, but scientists say something is still missing  Tech ExploristLab-grown Embryo Models are Getting Closer to the Real Thing  LabcompareNew computational benchmark reveals how closely lab-grown embryo models match real human development  Bioengineer.org

Developers AICodeWith have vibe-coded and published a free browser-based game dubbed Taipei GTA. It reportedly cost $10,000 in tokens to get to this state.

Large bone defects are among the most stubborn challenges in orthopaedic medicine. When trauma, tumor resection, infection, or repeated surgical debridement removes more bone than the body can spontaneously rebuild, patients face prolonged disability, repeated operations, and often incomplete structural restoration. The current toolkit remains frustratingly limited: autologous bone grafts are constrained by donor-site morbidity […]

The human nose is the first checkpoint of the respiratory tract, a thin, moist lining where viruses such as influenza A make their initial contact with the body. Yet studying that lining in the laboratory has long been technically awkward. Primary nasal epithelial cells grown in flat cultures lose their specialized character within a few […]

Peptide hormones are among the body’s most powerful chemical messengers. These short chains of amino acids regulate metabolism, growth, development, and the delicate balance of homeostasis in organisms ranging from plants to humans. When their regulation goes awry, the consequences can be serious, which is precisely why they have become prized targets in drug development. […]

One of the most stubborn obstacles in computational drug discovery is the cold-start problem: how do you predict whether a new drug will interact with a protein target when the model has never seen a single interaction label for either molecule during training? Traditional machine learning systems excel at interpolating within familiar chemical and biological […]

A routine lumbar MRI scan already captures far more than the spine itself. Embedded in every image of the vertebrae and discs lies a detailed portrait of the paraspinal muscles, the deep muscle groups flanking the spinal column that keep the trunk upright and stabilize every movement of the lower back. Clinicians have long suspected […]