Pharma portfolio analytics in a gen AI world
I recently sat down with a Top 20 pharmaceutical company to discuss their goals and struggles for the year ahead and how pharma portfolio analytics fits in.
I recently sat down with a Top 20 pharmaceutical company to discuss their goals and struggles for the year ahead and how pharma portfolio analytics fits in.
Chinese biopharma companies are at an inflection point, with rapid advances in science, know-how, and talent; these assets will reshape drug development.
By combining human expertise with AI-powered analysis, we’re helping biopharma companies make faster, more informed business development decisions.
Artificial intelligence-powered pipeline analysis is emerging as a tool that can help teams make better, faster drug development decisions.
Implementing guardrails for artificial intelligence (AI) in biopharma is crucial for ensuring effective, safe, and compliant use of this powerful technology.
In biopharma, pipeline analysis provides comprehensive insights into the lifecycle of drug candidates, from discovery through clinical trials to market launch.