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Molecular diagnostics and classifiers with Ava Soleimany (Harvard/MIT)
Manage episode 274343025 series 2769784
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
Manage episode 274343025 series 2769784
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
--- Support this podcast: https://podcasters.spotify.com/pod/show/the-data-pulse/support25 episodes
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