AI in Pharma & Biotech: 12 real deployments

Used PandaOmics and Chemistry42 AI systems to design PROTAC molecules targeting Bruton's tyrosine kinase for leukemias and lymphomas

Reported: AI-driven pipeline collapsed drug selection to 12-18 months versus 2.5-4 years with traditional methods; results published in the Journal of Medicinal Chemistry

Using PRISM natural-product AI platform to discover drug candidates and advance them through clinical trials

Reported: positive early readouts from ENV-294 (atopic dermatitis) and ENV-308 (metabolic health)

Using Anthropic's Claude models, starting with Claude Science on specific R&D workflows, to accelerate drug discovery and AI-driven software development across the company

Using AI to design small molecules targeting previously undruggable proteins for drug discovery

Reported: unveiled an AI-designed small molecule targeting the previously undruggable IL-17 protein

using in-house locked-down AI models for preclinical drug discovery

Anthropic is partnering with the Gates Foundation on vaccine development and crop-dataset work

Using ChatGPT and AlphaFold to design personalized mRNA cancer vaccines for dogs, with clinical trials underway

Eli Lilly runs AI-driven drug discovery at pharma scale on dedicated supercomputing infrastructure under Chief AI Officer Thomas Fuchs.

Amgen, Moderna, the Allen Institute, and Thermo Fisher received OpenAI's GPT-Rosalind vertical reasoning model as a research preview for drug discovery and genomics work.

Novo Nordisk partnered with OpenAI to overhaul drug development, with pilots starting immediately in R&D, manufacturing, and commercial and full integration planned by year-end.

using Hang Ten Systems AI platform for enterprise modernization

Merck committed up to $1B to Google Cloud for an enterprise AI backbone covering R&D, manufacturing, commercial, and corporate functions.