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Inicio › AI Use-Case Library › AI in Pharma & Biotech: 12 real deployments
Named Pharma & Biotech organisations and what they run, grouped by business function.
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.
Every entry names the organisation and links its source. Outcome figures are quoted as reported, never estimated. Vendor announcements without a named customer are excluded. Halted and reversed deployments are kept on purpose.