The large-language model (LLM)-based model, ChatGPT, had its clinical decision-making abilities put to the test in a joint study by researchers from Harvard Medical...

Researchers at the University of Washington, the Allen Institute for AI (Ai2), the National University of Singapore, and the Howard Hughes Medical Institute have...

Google DeepMind's SynthID Bio, published in Nature, hides watermarks in AI-designed proteins while preserving binding. How it works and its limits.

TurbOmics, a free web platform from CNIC and EMBL, integrates metabolomics with proteomics and transcriptomics data, no coding needed.

Biohub, the U.S. DOE, NIH, Google DeepMind, Isomorphic Labs and Meta expand the Virtual Biology Initiative to about $1.8 billion, aiming to build open, AI-ready datasets for predictive models of human cells.

A light switch for the brain wins the Nobel The 2026 Nobel Prize in Physiology or Medicine goes to Karl Deisseroth, Peter Hegemann, and Georg...

Ask anyone in pharma why drugs fail, and you'll hear the same story. Roughly nine out of ten candidates who enter Phase I never...

The work behind AlphaGenome Atlas comes from a large team at Google DeepMind, led by researchers working alongside scientists from the University of Exeter...

OpenAI has introduced Rosalind Workbench, a new research-preview environment available through the ChatGPT app that brings scientific tools, specialized biology models, and data workflows...

Wearables have gotten remarkably good at estimating how much we move and how well we sleep. But glucose regulation — the hidden machinery behind...

For years, genomics has had a dirty little secret: even our best reference genomes have gaps. Now, a large international team of the National...

Imagine trying to identify every resident of a bustling metropolis from a rooftop, at night, with only a handful of flashlights. That's essentially the...

Every winter, the influenza A virus infects millions of people. In a handful of cells, it manages to do something very hard for scientists...

A team from the FutureHouse, University of Oxford and Fordham University published a paper in Nature describing something that sounds like science fiction but...

Biology today produces more data than anyone knows what to do with. Sequencers spit out genomes, single-cell experiments generate massive expression matrices, proteomics platforms...

The interdisciplinary team, spanning researchers from the University of Surrey, Imperial College London, IISc, and others, discovered Virulence Associated Dikinase (VadK), which evolved from...

Picking the right treatment for a patient is rarely a one-step decision. A doctor has to think about the disease, the patient's other health...

Here's an uncomfortable question for anyone building AI tools for genomics: can a model tell the difference between a real biological signal and a...

NVIDIA launched the BioNeMo Agent Toolkit, a set of AI-ready tools that lets AI agents act like scientists by enabling them to choose models,...

Artificial intelligence is rapidly becoming an indispensable research partner in the life sciences. But while many AI tools excel at writing code or summarizing...

There's a moment in drug discovery that every medicinal chemist knows well. You've found a hit, a molecule that binds to your target, shows...

Antimicrobial resistance (AMR) has quietly become one of the defining health crises of our time, undermining the effectiveness of life-saving medicines and putting decades...

A structured program produced genetic sequences that don't exist in nature — then those sequences were built, tested in human cells, and found to...

The high computational cost of generating accurate atomic-level biomolecular structures remains a major challenge in AI-driven drug discovery. Researchers from Genesis Molecular AI, MIT,...

Drug discovery has always been brutally slow. You pick a target, screen hundreds of thousands of compounds, watch most of them fail, spend months...

Conventional molecular dynamics (MD) simulations provide atomistic insights into molecular behavior but are fundamentally limited by their femtosecond time steps, making it computationally challenging...

If you've ever tried to figure out exactly where a transcription factor sits down on the genome inside a single cell, you know it's...

A team of scientists from the University Health Network - Canada's Hospital, Arc Institute and Vector Institute developed BioReason-Pro to tackle one of the...

Every second, thousands of proteins inside your cells are bumping into each other, forming fleeting partnerships, and splitting apart again. These protein-protein interactions (PPIs)...

Proteins are remarkable molecules. They fold, bend, bind, and catalyze, all while balancing an internal tension that most biology textbooks barely mention. That tension...

For decades, the bottleneck in drug discovery wasn't the biology; it was the translation. Getting from a disease hypothesis to a viable therapeutic target...

Molecular biology is currently undergoing a taxonomic reckoning. For decades, the human genome was defined by a stable, canonical figure: roughly 19,500 to 20,000...

The research team affiliated with Sun Yat Sen University in Guangzhou engineered PlotGDP, an AI-based web server tool designed to assist people with various...

OpenProtein.AI is an open-access platform founded by MIT alumni Tristan Bepler and Tim Lu, which provides open-source AI models and a no-code interface for...

For years, the promise of artificial intelligence in drug discovery has lived mostly in press releases and conference decks. Researchers have talked about what...

Researchers at the University of Cambridge, Columbia University, and partner institutions have introduced ROCKET, a novel framework that extends AlphaFold2 by integrating experimental data,...

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Researchers at Mellon University and MIT introduce VibeGen, a generative AI framework for end-to-end de novo protein design conditioned on dynamics. The model generates...

Researchers from Rice and Boston universities developed CLASSIC, a platform that combines long- and short-read sequencing to measure over 100,000 multi-gene circuits in human...

The innovators behind intelliFold-2 at IntelliGen AI emphasize that IntelliFold-2 is designed as a state-of-the-art open source alternative to AlphaFold3 with stronger performance in...

There is a question that has quietly haunted drug discovery for decades, one that sounds almost too basic to be a problem. A molecule...

A major collaboration led by David Baker’s group at the Institute for Protein Design (UW) introduced RFdiffusion3 (RFD3), a next-generation version of the originally...

An inter-institutional collaboration across the US, Germany, and the Netherlands introduces MHub.ai, an accessibility and reproducibility-prioritizing, open source platform for standardized access to AI...

Researchers from Johannes Kepler University Linz, Austria, and Merck HealthCare, Germany, developed ConGLUDe (Contrastive Geometric Learning for Unified Computational Drug Design), an AI-based model for drug...

The growing complexity of biomedical research and healthcare demands AI systems that can go beyond general assistance to support end-to-end scientific workflows. Building on...

Researchers at Tsinghua University have introduced DrugCLIP, a contrastive learning framework that enables ultrafast and accurate virtual screening at a genome-wide scale. Published in...

The authors at Seoul National University developed FoldMason, a free, open-source, progressive Multiple Structural Alignment (MSTA) method published in Science that uses a structural...

Authors from the University of Pennsylvania and others innovated the motif-specific PPI targeting algorithm (moPPIt), a computational framework that integrates BindEvaluator along with Multi-Objective...

The researchers at Broad Institute and Mass General Brigham in Nature Genetics propose DNA-Diffusion, the first ever generative diffusion framework trained on DNA accessibility...

Stanford Medicine and researchers in Denmark and Boston have built an AI foundation model, SleepFM, that can read a single night of lab‑recorded sleep...

Google’s Health AI-Developed Foundations (HAI-DEF) has released an updated version of MedGemma (v1.5), an open-source generative AI model with enhanced capabilities in medical imaging...