All news with #drug discovery tag

Agentic AI Framework for Life Sciences R&D on Google Cloud

🔬 Google Cloud outlines an agentic AI framework to accelerate life sciences R&D by orchestrating specialized, fine-tunable models into modular workflows. It describes four agents—MedGemma for deep literature and data synthesis, TxGemma for in-silico preclinical prediction, Gemini 2.5 Pro as the cognitive orchestrator, and AlphaFold-2 plus docking tools for molecular design. The architecture maps data flows, tooling, and cloud services (Vertex AI, HPC, search) to move from target discovery through iterative Design→Dock→Predict→Refine cycles toward lab-ready lead nomination while preserving version control and compliance.

Microsoft Azure and NVIDIA Accelerate Scientific AI

🔬 This blog highlights how Microsoft Azure and NVIDIA combine cloud infrastructure and GPU-accelerated AI tooling to speed scientific discovery and commercial deployment. It profiles three startups—Pangaea Data, Basecamp Research, and Global Objects—demonstrating applications from clinical decision support to large-scale protein databases and photorealistic digital twins. The piece emphasizes measurable outcomes, compliance, and the importance of scalable compute and optimized AI frameworks for real-world impact.