AI Robot Discovers Hidden Pathway in 130-Year-Old Chemical Reaction
An AI robot uncovered a hidden pathway in the 130-year-old Biginelli reaction, running 1,000 experiments daily to reveal chemistry that humans never.
213 articles
An AI robot uncovered a hidden pathway in the 130-year-old Biginelli reaction, running 1,000 experiments daily to reveal chemistry that humans never.
AI drug safety research finds LLMs confuse Pokémon names for real medications up to 99.6% of the time, exposing a dangerous gap in healthcare AI.
AI drug discovery gets a reset: a major three-institution collaboration will design biomolecules nature never created, then validate them in living cells.
Apple's SimpleDesign rivals AlphaFold by skipping tokenization entirely, training directly on 2 million protein pairs in one step for faster, simpler.
Newfound Materials combines physics-driven AI with synthesis expertise to turn materials science predictions into factory-ready products, targeting $250B+.
Stevens Institute's new materials science chair is using AI as a problem-solving tool, not a shortcut, to train the next generation of engineers and.
Former Google researchers raised $6.5M to build an AlphaFold-linked AI "judge" that pairs humans with AI to catch rogue model behavior before it escalates.
Ferris State researchers will show how embedding AI in drug discovery cycles can compress weeks of protein engineering work into days.
The Harness framework keeps AI materials science proposals grounded by validating them against real databases, cutting costly dead ends in materials.
NVIDIA's BioIR engine accelerates AlphaFold protein-folding nearly 3x, cutting energy use by two-thirds and processing millions of protein complexes at.
Explority AI's free hub maps 5,846 rare diseases in one place, cutting weeks of drug discovery research and replacing costly, fragmented tools.
AI and genomics are converging fast: a new UC Berkeley model decodes disease-linked DNA in hours, while BGI unveils custom nutrition and biological age.
South Korea's new battery research platform gives scientists and startups access to $44 million in shared lab equipment through a single online portal.
UC Berkeley's GPN-Star AI decodes the 98% of human DNA once called "junk," identifying disease-linked genetic variants in hours instead of months.
Only 24% of pharma executives expect AI to meaningfully improve drug success rates, even as 72% of companies scale AI across drug discovery.
69 researchers say AI hydrogen storage predictions fail without physics constraints, clean data, and experimental feedback loops built in from the start.
Google DeepMind's AlphaGenome Atlas maps all nine billion possible DNA mutations, offering free academic access to predictions that could transform rare.
AI drug discovery depends more on data integrity than algorithms, experts warn, as pharma leaders prepare to tackle validation and regulatory gaps this.
Pharma's AI revolution is moving beyond drug discovery, with AI-native operations projected to unlock $110 billion in annual global value.
Liverpool's new £20 million AI-powered drug discovery lab uses robotics and human organoids to speed up treatments while cutting animal testing.
AI is shrinking the decades-long gap between materials science labs and market shelves, pushing academics and industry to collaborate from day one.
AI leaders claim curing disease is years away, but experts say 80% of chronic illness stems from lifestyle, not genes that AI can fix.
AI drug discovery's real edge isn't algorithms, which are open source; it's rare biological data that competitors can't replicate, industry leaders say.
NSF is investing $90 million to study how DNA's 3D folding drives Alzheimer's, cancer, and heart disease, led by Northwestern University's new GENIE.
UC San Francisco used AlphaFold AI to map 1,800+ protein interactions in profound autism, potentially replacing gene-by-gene drug development with shared.
Tohoku University's new AI system designs better polymers on its own, potentially cutting development time from years to months while slashing waste.
AI designed 16 viable viruses, but the real biosafety challenge isn't creating super pathogens; it's building governance frameworks fast enough to match.
UC Berkeley researchers used AI to crack RNA structure prediction, a breakthrough that could accelerate gene therapy and CRISPR tool development.
Chemistry is forcing AI to become smarter, pushing systems beyond black-box predictions toward transparent, trustworthy models that could transform.
A $95 million initiative is using AI to design entirely new DNA sequences that have never existed in nature, targeting cancer, ocean plastics, and more.
Oxford and Ono Pharma are betting on AI drug discovery, with causal AI targeting neurological diseases and a new Oxford program training pharma.
AI drug discovery is now a mainstream investment, with Insilico Medicine posting 287% revenue growth and $7.3 billion in 2026 partnerships.
AI is reshaping genome analysis by replacing an outdated single reference with a pangenome, helping doctors detect cancer and rare diseases more.
AI drug discovery hit three milestones: causal AI partnerships, a tool screening 69 billion molecules cheaply, and 96% of pharma leaders prioritizing AI.
AI can now build materials atom-by-atom without human supervision, assembling a 37-molecule graphene lattice that behaves like the real thing.
A $98.5 million federal AI program aims to end the six-year rare disease diagnostic odyssey by building the largest AI-ready rare disease dataset ever.
AI mapped 14,000 hidden symbiotic microbes, revealing 15-23% of uncultivated bacteria live in host partnerships, a find that could unlock new.
AI screened 150 million materials and found two lead-free dielectrics that outperform industry standards for electric vehicles and aerospace electronics.
US pharma companies face a four-layer EU AI rulebook for clinical trials; here's how to build compliant drug discovery pipelines before 2027 deadlines.
Xanadu and Mitsubishi Chemical are using quantum simulation to design better semiconductor materials, backed by over $800,000 in Canadian and Japanese.
AI can now read chemistry like a chemist, helping researchers discover 10 new materials that outperform state-of-the-art water harvesters.
Scientists mapped nearly 12,800 immune cell genes across 22 million cells, creating a functional rulebook that could transform cancer and autoimmune.
AI is unlocking hidden wheat genetics using k-mers, helping breeders find disease resistance genes faster and protect global food security.
Huawei is building a domestic AI drug discovery ecosystem using its own chips, but no AI-discovered drug has won approval anywhere in the world yet.
AI can now predict which pancreatic cancer patients need aggressive chemotherapy, with survival jumping from 9.9 to 16 months when matched correctly.
Northeastern researchers are using AI to decode oyster DNA, identifying climate-resilient mutations to guide selective breeding and save collapsing oyster.
Pharma companies are ditching monolithic AI platforms for modular, task-specific agents that work with existing clinical trial systems without costly.
Chemistry AI is fragmenting R&D instead of unifying it, forcing teams to stitch together tools that can't share data or enable closed-loop learning.
Northeastern students found today's AI drug discovery tools make dangerous errors and need constant human oversight, despite a market projected to hit $13.
Pharma giants, AI startups, and Big Tech are dividing drug discovery labor by specialty, accelerating AI-designed candidates into human clinical trials.