Can AI Rescue Failed Drugs? The Hidden Patients Inside Clinical Trials | Vin Singh, CEO, BullFrog AI

Send us Fan MailPharma has spent decades building a graveyard of failed drugs — but hidden inside that data may be treatments that actually worked… for someone.Vin Singh is Founder and CEO of BullFrog AI ( https://bullfrogai.com/ ), a company working at the intersection of machine learning, causal modeling, and drug development.BullFrog is focused on a fundamental problem in biopharma — not just how to analyze increasingly large datasets, but how to extract meaningful cause-and-effect relationships from them. Their platform integrates data preparation, analysis, and network-based modeling to help research teams better understand biological mechanisms, identify patient subgroups, and improve clinical trial design.Vin brings a deep mix of technical, operational, and entrepreneurial experience to this challenge. Prior to founding BullFrog, he held leadership roles across the life sciences ecosystem, including serving as Global Director of the Cell Therapy Business at Thermo Fisher Scientific, where he oversaw services supporting clinical and commercial-stage therapies. He also founded and led Next Healthcare, a company focused on adult stem cell and skin cell banking, and was an early co-founder at MaxCyte, helping build foundational technologies in cell engineering.In addition to his operating roles, Vin has been active in the innovation ecosystem as a Mentor in Residence at Johns Hopkins Technology Ventures.Vin holds an MBA in Finance from Johns Hopkins University, a Master’s in Biomedical Engineering from Rensselaer Polytechnic Institute, and a Bachelor’s in Electrical Engineering from Rutgers University — a background that spans engineering, biology, and business.#CausalAI #DrugDevelopment #Biotech #ClinicalTrials #PrecisionMedicine #AIinHealthcare #PharmaInnovation #FailedDrugs #OncologyResearch #PancreaticCancer #FutureOfMedicine #MachineLearning #Biopharma #TranslationalMedicine #DigitalHealth #MedicalInnovation #DataScience #ClinicalResearch #AIinBiotech #HealthcareInnovationSupport the show