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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...
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...
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...
Some of the industry’s most closely-watched AI drugs could provide insight into the success of technology-assisted development.
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...
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...
Insilico Medicine, a clinical-stage generative AI drug discovery company, has announced a multi-target strategic alliance with Bora Pharmaceuticals, a global pharmaceutical manufac...
AI Discovery Awards exist to accelerate momentum and connect the most promising teams with compute resources, investor networks, and mentorship needed to move from promising resear...
Insider Brief Researchers from Quantinuum, NVIDIA and Pfizer have developed an artificial intelligence system that learns to generate quantum circuits for molecular simulations in...
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 has reduced the time needed to produce some drug development candidates to about one year by combining artificial intelligence with laboratory research in China,...
The fund-raising values the company at $3.8 billion and underscores investor interest in using artificial intelligence to tackle problems like drug discovery.
Chai-3's advancements could revolutionize drug discovery, significantly reducing time and costs, and potentially transforming the biotech industry. The post Chai Discovery unveils...
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....
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 collaboration is specifically focused on applying Receptor.AI's computational platform to Sethera's proprietary polymacrocyclic peptide chemistry, encoded screening data, and r...
The funding discussions point to investor interest in applying AI to make breakthroughs in life sciences.
This AI startup, which lists Nobel laureate David Baker among its co-founders, has announced a “world model” of a cell that can simulate both its natural state and […]
One biotech AI system searches 38 million biomedical papers, while another cut trial-related work from six months to less than eight weeks
Generating biomanufacturing-relevant data on protein production in a large-scale, AI-enabled database is still rare. When commercialized, it may substantially improve development t...
Combines Insilico's Pharma.AI platform with Bora's global development, manufacturing, quality, and commercialization capabilities to explore a next-generation drug innovation model
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