AI-powered Strategic Pharmaceutical Portfolio Management
AI Projects
Information
Challenge: Late-stage drug development is costly, risky, and often fails due to complex strategic, operational, and commercial factors.
Mitacs’ Role: Supported AI-driven applied research to analyze risk factors across the drug development pipeline, helping companies make smarter, data-informed decisions.
Impact: Enabled more efficient portfolio management, reducing avoidable failures and accelerating time-to-market for promising drugs. Demonstrates how AI can turn complex data into actionable insights for high-stakes industries.
