Molecular diagnostics are emerging as a precise way to detect diseases early on in prognosis. In today's episode, I chat with Harvard+MIT PhD Student Ava Soleimany on the role of data science in activity-based molecular diagnostics for early cancer detection and how the confluence of classification techniques with feature representation of cancer biomarkers can enable non-invasive, early detection.
Check out the glossary of terms, definitions, and resources (and get a sneak peak of the future conversations lined up!) here: bit.ly/datapulse-glossary
