Podcast: A Small Startup Fights Rare Diseases with Big Data

So much of the information generated in healthcare and life sciences was designed for humans to manually read. The rapid rate at which new content is being created today has made this an impossible task. Manually analyzing these documents could take months, with deep learning it can take seconds.

As datasets grow and content becomes increasingly siloed, deep learning algorithms provide users with a tool to more easily extract valuable insights from unstructured content such as published research, clinical trial protocols, images and much more.

Vyasa CEO & Founder, Dr. Christopher Bouton, recently joined IEEE Spectrum’s Fixing the Future podcast to discuss the data challenges facing healthcare and the life sciences. The interview explores how advances in deep learning are solving this problem to improve research around rare diseases.

Listen to the full episode here.