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Radical Numerics Says Omnii-1 Phages Given to Patient in First Clinical Use

Radical Numerics Says Omnii-1 Phages Given to Patient in First Clinical Use

Oct 21, 2026
Radical Numerics

Radical Numerics says phages designed by its Omnii-1 genome language model have been given to a patient with an antibiotic-resistant infection under a physician-led compassionate-use pathway, which the company calls the first clinical use of AI-generated phages. The company reports the cocktail cleared the patient's isolate in vitro but did not disclose outcomes.

OpenAI Acquires Orchestra Bio for Rosalind Life Sciences Model

OpenAI Acquires Orchestra Bio for Rosalind Life Sciences Model

Oct 21, 2026
TechCrunch

OpenAI acquired Orchestra Bio, a four-year-old startup whose AI agents handle drug-discovery operations such as clinical trial scheduling and finances. Terms were not disclosed; Orchestra had raised about $20 million. OpenAI says it will fold the team and technology into Rosalind, its life sciences model, and Rosalind Workbench, which it says Moderna and Novo Nordisk use.

Pharma Business
Google Says Its AI Helped Diagnose Genetic Disease in Under Eight Hours

Google Says Its AI Helped Diagnose Genetic Disease in Under Eight Hours

Oct 13, 2026
Google

Google says its AI models help scientists diagnose genetic disease in under eight hours and repurpose existing drugs. Researchers at Barcelona's Institute for Global Health used AlphaFold to screen 30,000 compounds against Chagas disease, flagging two FDA-approved candidates. Google.org reports giving over $60 million in 2026.

Healthcare Pharma
AI Consortium Releases Open 26B Biomedical Reasoning Model Trained With Reinforcement Learning, Achieving 81% Drug Evaluation Accuracy

AI Consortium Releases Open 26B Biomedical Reasoning Model Trained With Reinforcement Learning, Achieving 81% Drug Evaluation Accuracy

Jul 31, 2026
Arcee AI

A consortium of AI companies including Loka, AWS, and Arcee AI releases Trinity Mini, an open 26-billion-parameter biomedical reasoning model trained with reinforcement learning that achieves 81.2% drug evaluation accuracy, offering organizations an auditable, deployable solution for specialized scientific AI within controlled infrastructure.

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