Recent News: "The Agentic Test" Webinar Explores Whether Agentic AI Can Accelerate Drug Development and Break Down Pharma Silos
**Recent news highlights:
**
- A March 18, 2026 Biospace webinar titled "The Agentic Test:
Can AI Actually Accelerate Drug Development and Break Down Silos Across Pharma?" examines how agentic (autonomous) AI workflows and enterprise-scale data are helping drug developers move faster from molecule to market with greater confidence.
- The webinar showcases how one of the world’s top R&D spenders is using validated AI, connected data, and human‑in‑the‑loop workflows to dismantle organizational silos across multi‑disciplinary teams.
- The session also presents case studies of generative and agentic AI already delivering measurable value in candidate validation, novelty assessment, competitive monitoring, and lead‑compound extraction, and offers a playbook for scaling AI from proof of concept to secure, compliant deployment.
- Broader industry coverage (BCG, Cognizant, Medable, Salesforce, and others) confirms that agentic AI—from multi‑agent lab automation to autonomous document generation and trial orchestration—is poised to compress drug‑discovery cycles and improve cross‑functional R&D velocity, though governance and traceability remain critical.
Sources:
The Agentic Era: Why Biopharma Must Embrace Artificial ...
A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle
[2510.27130] AI Agents in Drug Discovery
FAQ: What You Need to Know About Agentic AI in Drug ...
Webinar: The Agentic Test: Can AI Actually Accelerate ...
Agentic AI in Biopharma: Game-changing Efficiency
Agentic AI in Pharma: Accelerating Drug Discovery & Trials
[PDF] Agentic AI in Pharma: Merck & Google Cloud $1B Partnership
How Agentic AI is transforming life sciences discovery and ...
How Agentic AI in Pharma is Revolutionising Healthcare - Salesforce
Agentic AI: Transforming the pharma lifecyle from R&D through to Commercialization
Benchmarking and Development of AI-Based Agentic ...
AI, agentic models and lab automation for scientific discovery - PMC