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Artificial intelligence is often framed as the technology that suddenly changed drug discovery. But that narrative misses an important truth: computational, or in silico, drug disc...
Some of the industry’s most closely-watched AI drugs could provide insight into the success of technology-assisted development.
Artificial Intelligence Revolutionizes Cancer Drug Discovery, Paving the Way for Next-Generation Therapies The arduous journey of developing effective cancer drugs, marked by high...
Anthropic has just published the results of a protein design campaign. Fifteen targets, a written brief and an instruction to design small proteins that latch onto them. The model...
Despite advances, AI applications in scientific research have not experienced their “Claude Code” moment. The compute power exists. The models exist. What’s missing is a system tha...
Elix and the University of Vienna will partner to bridge the gap between advanced structural biology and artificial intelligence. By integrating AI’s predictive power with experime...
The Bengaluru-based company builds models that generate molecules and predict how they will behave, and has licensed its lead candidate to a US developer.
Insilico Medicine, a clinical-stage generative AI drug discovery company, has announced a multi-target strategic alliance with Bora Pharmaceuticals, a global pharmaceutical manufac...
GSK has entered into a research collaboration with British biotechnology company Relation Therapeutics worth up to $110 million, expanding the companies’ existing work in AI-assist...
Insilico Medicine has reduced the time needed to produce some drug development candidates to about one year by combining artificial intelligence with laboratory research in China,...
Insider Brief Researchers from Quantinuum, NVIDIA and Pfizer have developed an artificial intelligence system that learns to generate quantum circuits for molecular simulations in...
Investors unpack what it takes to succeed in an increasingly crowded AI biology ecosystem. The post Pharma Races to Scale AI as Billions Flow into Drug Discovery appeared first on...
A Nobel laureate’s decades-long commitment to open science is reshaping biotechnology in the AI era. Deep learning methods can now design novel proteins across pharmaceuticals, vac...
The collaboration is specifically focused on applying Receptor.AI's computational platform to Sethera's proprietary polymacrocyclic peptide chemistry, encoded screening data, and r...
Ian explains how AI is helping the FDA finally rethink how we decide when a new drug is safe enough to test on people.
Net present value modeling based on actual use and benchmark data was applied to quantify the net financial impact of an agentic AI solution to support a drug development program....
A small medicinal plant seed has become the testing ground for a research strategy that combines ultrasound, a biodegradable solvent and artificial intelligence. In a study publish...
Cade Metz / New York Times: Insilico, which uses AI to accelerate drug discovery, says early data shows rentosertib, a drug whose structure was generated with AI's help, could slow...
One biotech AI system searches 38 million biomedical papers, while another cut trial-related work from six months to less than eight weeks
Novo Nordisk is expanding its use of AWS artificial intelligence tools across drug discovery, including AI agents for target identification, therapy design, and research workflows....
The fund-raising values the company at $3.8 billion and underscores investor interest in using artificial intelligence to tackle problems like drug discovery.
Black Book Research and Applied Artificial Intelligence LLC identify 2026-2027 client-rated technology leaders across 28 pharmaceutical, biotechnology and life sciences markets bas...
AI was supposed to transform drug discovery, or at least that’s what pharma spent the last decade promising. The pitch... The post AI Was Meant To Fix Drug Discovery – So Why Do Ni...
Pharmaceutical companies have embraced artificial intelligence in drug research almost universally, yet few company executives expect AI to actually make drugs succeed, according t...
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