187 articles
India sequenced 10,174 genomes and found 7 million novel genetic variants, as its AI-powered genomics push aims to reshape precision medicine globally.
The NSF is channeling billions into materials science research, from semiconductors to earthquake-resistant structures, through engineering grants and.
Sage Publishing and Elix are reshaping drug discovery by pairing AI platforms with scientific literature and atomic-level biology to target.
Northeastern scientists are using AI to reshape materials discovery and drug development, while physics is helping make AI itself more interpretable.
Google DeepMind dissolved the Nobel Prize-winning AlphaFold team, redirecting researchers to Gemini as it bets on general-purpose AI over specialized.
Europe's first Ultima-certified genomics lab can now sequence at trillion-gene scale, slashing costs and opening AI-scale biology research to researchers.
AI is reshaping drug discovery by compressing months of work into days, but leaders say validated learning, not raw speed, is the real competitive edge.
Self-driving labs backed by a $20M NSF grant can accelerate materials discovery by 100 times, letting researchers run experiments remotely via AI and.
NSF-funded self-driving labs at Rice and NC State will let researchers run AI-powered materials experiments remotely, compressing discovery timelines by.
AlphaFold's Nobel-winning protein breakthrough came from a hiring decision, not a smarter algorithm; academia's structure made the team impossible to.
The USDA is quietly building an AI genomics arsenal to help farmers fight disease, resist drought, and cut chemical costs across American agriculture.
Universities are racing to train bioinformatics engineers as AI genomics careers surge, blending coding and DNA expertise to meet explosive demand from.
AI can now map kidney protein structures in minutes using AlphaFold, letting scientists predict disease risk and design targeted drugs before symptoms.
AI drug discovery is hobbled by a hidden bias: scientists rarely share failed experiments, leaving models to learn only from successes.
AI and physics are merging to slash battery material discovery from months to days, using self-driving labs that autonomously test electrolyte.
St. John's University secured $562,000 from NIH to build AI that finds new uses for existing drugs, targeting respiratory diseases faster and cheaper.
Bystro AI lets researchers query genomic data in plain English, eliminating the coding barrier that has slowed genetic research for decades.
AlphaFold is helping researchers pinpoint and fix the structural flaws that cause gene-editing tools like CRISPR to cut DNA in the wrong places.
Georgia Tech will lead seven AI research projects under the $5 billion Genesis Mission, targeting nuclear safety, biomanufacturing, and materials science.
The U.S. DOE is funding 278 teams with $293 million to build AI systems that cut catalyst discovery from years to weeks.
University at Buffalo won three federal AI grants to accelerate materials discovery, chosen from over 5,000 submissions in the DOE's Genesis Mission.
Stanford's AI found a natural peptide called BRP that cuts food intake by 50% in animals, mimicking Ozempic without nausea or muscle loss.
Wheaton College researchers built pygenoscape, a free open-source tool that turns thousands of DNA sequences into 3D landscapes revealing hidden genetic.
AI has uncovered hidden genome reorganization in Alzheimer's brain cells, revealing a new layer of disease biology beyond amyloid plaques and tau tangles.
LSU's AI drug discovery platform screens millions of candidates in weeks, not years, targeting diseases that lack profitable markets.
Northwestern's $20 million NSF-funded AI cloud lab will let researchers remotely engineer proteins and generate 30 million data points, free of charge.
Corgi, a new AI tool, predicts gene activity across cell types by factoring in each cell's unique molecular environment, advancing drug discovery and.
AlphaFold 3 solved a 50-year protein-folding mystery, and now AI-designed cancer drugs are entering human clinical trials for the first time.
The DOE's Genesis Mission funds 278 AI research projects across 342 institutions, compressing scientific discovery timelines from decades to months.
AI is tackling nuclear waste cleanup using physics-based models that could unlock over $150 billion in savings across U.S. Department of Energy sites.
The Pharma 4.0 market is set to grow from $17.85 billion to $90.71 billion by 2034, as AI and robotics reshape drug discovery at scale.
Two new AI tools let researchers query atomic-level materials properties in plain English, accelerating discovery for applications like fusion energy.
DeepMind CEO Demis Hassabis warns AGI could arrive within years, urging global oversight now before frontier AI evolves beyond human control.
AlphaFold predicts structures for 200 million proteins, but medicinal chemists still need experimental methods for the binding-site detail that drives.
CuspAI's AI Materials Foundry unites 45 global partners, including NVIDIA and Samsung, to discover new materials faster, cutting years of R&D to months.
Takeda's $600 million AI drug discovery deal with Insilico Medicine could slash years off early research timelines using a three-tool AI platform.
Anthropic's Claude Science gives all paid subscribers an AI workbench with 60-plus curated skills to accelerate drug discovery, including internal.
AI can flag drug targets eight times better than chance, but benchmarking shows even advanced algorithms barely beat basic heuristics at predicting which.
DeepMind's Hassabis argues AlphaFold's success proves the universe is inherently computational, not simulated, but made of information itself.
AI is accelerating materials discovery fastest when humans stay in the loop, a key finding from the AIchemy Hub Conference in Liverpool.
Korea and Germany are uniting on AI-driven laser manufacturing while 11 U.S. fellows commercialize materials science breakthroughs backed by $4.9B in.
CellCarta's new AI consortium unites seven specialized vendors under one CRO, giving drug makers a validated, agnostic path through AI-powered drug.
UC Berkeley scientists used AI to design custom gene-editing enzymes, with 1 in 4 variants proving active, outpacing what evolution alone can produce.
Genomic sequencing now costs as little as $200, but processing the data is the new bottleneck, driving explosive growth in high-performance computing for.
Japan's pharma giants are uniting around AI drug discovery platforms, with one new molecular model already ranking first on nine global benchmarks.
Georgia Tech's new AI center will model disease at the cellular level to speed drug discovery, targeting deadly cancers like pancreatic and glioblastoma.
Bipartisan legislation would use AI to sequence genomes from extreme underground microbes, potentially unlocking new treatments for Alzheimer's, diabetes.
AlphaFold solved protein folding in seconds, but Demis Hassabis says designing drugs that bind targets without harmful side effects is the harder.
Claude Science speeds up genomics and proteomics research, but early users say the AI still can't think critically about data the way trained scientists.
OpenAI researcher Miles Wang is launching an AI drug discovery startup targeting a $2 billion valuation, focusing on repurposing FDA-approved drugs.
