IDEA/COMPANY FORMATION: Discovering Curative Therapies for Parkinson’s Disease with Machine Learning
Host: Dr. Katharina Volz, CEO and Founder, OccamzRazor
Expert Contributor: Alexander Levy, EIR at Silicon Valley Bank, Co-Founder and former COO, Atomwise
We see significant potential at the convergence of AI and neuroscience to find disease-modifying treatments for Parkinson’s Disease (PD) and other complex diseases. To cure a complex and multifactorial disease like PD, we need to go beyond targeting just a single gene or a single disease mechanism. Analysis of unstructured and structured biomedical datasets (e.g., published literature, preclinical and clinical trial results) can yield a knowledge graph representing all known information about PD. This graph can be used to drive downstream therapeutic insight, augment decision-making in biomedical research, and generate strategic therapeutics development. Join us in exploring this exciting application of machine learning for therapeutic discovery.
1) Natural language processing pipeline published with Stanford at ACL, the #1 ranked publishing venue for NL