Whitepaper: The AI buying guide for BD&L executives
AI is already transforming how leading organizations identify, evaluate, and close deals, but not all AI platforms are built for BD&L.
AI is already transforming how leading organizations identify, evaluate, and close deals, but not all AI platforms are built for BD&L.
Even with databases, access to prior knowledge in biotech BD teams often breaks down. The antidote is simple : build durable organizational memory. AI can help.
Learn how top biopharma BD teams find diamonds in the rough by prioritizing strategic clarity, disciplined pipeline triage, and AI-powered asset tracking.
In biopharma business development, companies face increasing pressure to identify the next blockbuster drug with limited resources and time constraints.
Recently, I had a conversation with Dr. Kanya Rajangam, to discuss current perceptions about Chinese biotech, opportunities, language challenges, and risks.
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.
Let’s explore the four most common use cases for an AI-powered drug pipeline analysis platform and how they support strategic decision-making in biopharma.