Digital Twins: The Future of Drug Discovery with Dr. Tomáš Helikar

BioTalk Unzipped, hosts Gregory Austin and Chad Briscoe engage with Dr. Tomas Helikar in an exciting discussion on the future of AI, digital twins, and personalized medicine. From mathematical models and immune system simulations to groundbreaking collaborations with the Department of Defense, this episode uncovers how digital twins have the potential to transform drug discovery and clinical trials. Don’t miss insights on the ethical challenges of data privacy, the promise of animal digital twins, and the latest AI breakthroughs like MIT’s Sparrow algorithm! Chapters 01:00 How the mathematical models work. Normalization and Scaling in Computational Biology 07:55 Focus on the Immune System and Organ Models 09:05 Collaboration with the Department of Defense 11:03 Drug Discovery and Digital Twins 13:43 NEW NEWS! - AI in Drug Discovery: The MIT Sparrow Algorithm 17:51 Future of Digital Twins in Clinical Trials 18:59 Personalized Medicine and Individualized Treatments 23:33 The Potential of Animal Digital Twins 24:59 Building a Research Infrastructure for Digital Twins 26:03 Privacy and Ownership of Digital Twin Data 30:14 Encouraging Publication and Literature Engagement How to reach us: Tomas Helikar  https://www.linkedin.com/in/tomashelikar/  X - https://x.com/tomashelikar  Dr. Chad Briscoe https://www.linkedin.com/in/chadbriscoe/  Celerion - https://www.celerion.com/   Gregory Austin https://www.linkedin.com/in/gregoryaustin1/  ECI - https://eci-rx.com /  Sound Bites "Publications are the currency in academia." New News Story:  MIT’s SPARROW Redefines Drug Discovery With Smart Synthesis https://scitechdaily.com/mits-sparrow-redefines-drug-discovery-with-smart-synthesis/ Image Credits MIT Molecule, https://news.mit.edu/topic/algorithms?page=2