Advanced AI technologies—RAG-LLMs, Model Context Protocol, and NLWeb—are reshaping pharmaceutical R&D. Learn more about these innovations through Springer Nature’s latest webinar, Accelerating Drug Discovery: Validated Biomedical Knowledge for AI-Driven Pharmaceutical Research. Discover how this AI-driven approach can streamline the discovery-to-market pipeline, foster collaboration between computational and wet-lab researchers, and pave the way for breakthrough therapeutics that improve patient outcomes and transform healthcare delivery.
Presented by Dr. Prathik Roy, Product Director of Data Solutions and Strategy at Springer Nature, this webinar covers:
- How structured, enriched, and curated scientific literature in drug discovery through cutting-edge AI technologies can foster innovation.
- Ways to uncover critical patterns and insights that can revolutionize pharmaceutical R&D, from target identification and lead optimization to clinical trial design and regulatory submissions.
- Untapped potential of intelligent data mining in accelerating drug development timelines, enhancing safety profiles, and reducing development costs.
Speaker Bio:
Dr. Prathik Roy is the Product Director of Data Solutions and Strategy at Springer Nature, New York. He leads product and business development efforts and is an advocate for agile adaptation of data & analytics, ML and AI in the scientific space.
He is a certified Data & Product Strategist from MIT Sloan & Kellogg’s Northwestern University and a former MacDiarmid fellow from University of Canterbury, New Zealand. He obtained his Ph.D. in Chemistry from National Taiwan University and has published over 30 research papers and written three books. He is ranked among the top 0.5% Scientists in the world in Chemistry & Material Science and is the recipient of over six international awards.
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