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What the Data Tells Us About COVID-19 with Eric Topol - #392

What the Data Tells Us About COVID-19 with Eric Topol - #392

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


What the Data Tells Us About COVID-19 with Eric Topol - #392

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
43 minutes
Released:
Jul 16, 2020
Format:
Podcast episode

Description

Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine.  Eric is also one of the most trusted voices on the COVID-19 pandemic, giving those that follow his Twitter account (link) daily updates on the disease and its impact, from both a biological and public health perspective. We had the pleasure of catching up with Eric to talk through several Coronavirus-related topics, including what we’ve learned since the pandemic began and the role of technology—including ML and AI—in understanding and preventing the spread of the disease. We also explore the broader opportunity for medical applications of AI, the promise they offer for personalized medicine, and how techniques like federated learning and homomorphic encryption can offer more privacy in healthcare.   The complete show notes for this episode can be found at twimlai.com/talk/392.
Released:
Jul 16, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.