“Data is the greatest drug of the 21st century.”
Driven by his own son’s extremely rare disease, Matt Might pivoted from his computer science background to dive head first into the field of precision medicine. Using a patchwork of resources including genomic sequencing, natural language processing, deep learning, and CRISPR, Might has created a high level algorithm that maps to the patient journey and can be used to guide care and scale treatment in precision medicine. Watch the full talk from the Harvard Institute for Applied Computational Science’s Digital Doctor Symposium below.
Want to learn more about deep reasoning in precision medicine? Check out the mediKanren knowledge base on GitHub.