<p><strong>Summary: </strong></p><p>This week on The Genetics Podcast, Patrick is joined by Slavé Petrovski, Vice President of the Center for Genomics Research at AstraZeneca. They discuss how AstraZeneca is scaling population genomics through massive biobank collaborations, developing AI models for early disease prediction, and pioneering sustainable “green” algorithms to reduce the environmental footprint of large-scale genomic research.</p><p><strong>Show Notes: </strong></p><p><strong>0:00 </strong>Intro to The Genetics Podcast</p><p><strong>00:59</strong> Welcome to Slavé</p><p><strong>02:09</strong> Slavé’s career path from business information systems to genomics</p><p><strong>04:33 </strong>How Slavé decided to move from academia to industry</p><p><strong>07:52 </strong>Scaling and diversifying biobank partnerships to unlock new genetic insights</p><p><strong>12:29</strong> Translating biobank data into predictive and preventive medicine</p><p><strong>15:14 </strong>Discovering protective genetic variants through global biobank studies</p><p><strong>19:13 </strong>Leveraging population genetics to identify and validate protective drug targets</p><p><strong>23:52 </strong>Developing an AI tool (MILTON) for integrating multi-omic and clinical data for early disease prediction</p><p><strong>28:12 </strong>Redefining clinical trials in a presymptomatic and predictive medicine era</p><p><strong>30:49 </strong>AstraZeneca’s efforts to make large-scale genomics computing sustainable through green algorithm innovation</p><p><strong>39:05 </strong>AstraZeneca’s open science strategy and global impact of its shared genomics tools</p><p><strong>42:10 </strong>Fostering critical thinking and avoiding groupthink in large-scale genomics research</p><p><strong>45:30 </strong>Looking ahead to the next decade of genomics and precision healthcare</p><p><strong>50:01 </strong>Closing remarks</p><p><strong>Find out more</strong></p><ul><li><p>MILTON (<a href="https://www.astrazeneca.com/r-d/our-technologies/machine-learning-drug-discovery.html"><u>https://www.astrazeneca.com/r-d/our-technologies/machine-learning-drug-discovery.html</u></a>)</p></li><li><p>PheWAS Portal (<a href="https://azphewas.com/"><u>https://azphewas.com/</u></a>)</p></li><li><p>Upcoming webcast with deep dive into MILTON &amp; PheWAS (<a href="https://www.nature.com/articles/d44224-025-00033-7"><u>https://www.nature.com/articles/d44224-025-00033-7</u></a>)</p></li></ul><p>Please consider rating and reviewing us on your chosen podcast listening platform! </p><p><a href="https://drive.google.com/file/d/1Bp2_wVNSzntTs_zuoizU8bX1dvao4jfj/view?usp=share_link"><u>https://drive.google.com/file/d/1Bp2_wVNSzntTs_zuoizU8bX1dvao4jfj/view?usp=share_link</u></a></p><p><br></p>

The Genetics Podcast

Sano Genetics

EP 214: Innovating large-scale and sustainable genomics with Slavé Petrovski of AstraZeneca

NOV 20, 202551 MIN
The Genetics Podcast

EP 214: Innovating large-scale and sustainable genomics with Slavé Petrovski of AstraZeneca

NOV 20, 202551 MIN

Description

<p><strong>Summary: </strong></p><p>This week on The Genetics Podcast, Patrick is joined by Slavé Petrovski, Vice President of the Center for Genomics Research at AstraZeneca. They discuss how AstraZeneca is scaling population genomics through massive biobank collaborations, developing AI models for early disease prediction, and pioneering sustainable “green” algorithms to reduce the environmental footprint of large-scale genomic research.</p><p><strong>Show Notes: </strong></p><p><strong>0:00 </strong>Intro to The Genetics Podcast</p><p><strong>00:59</strong> Welcome to Slavé</p><p><strong>02:09</strong> Slavé’s career path from business information systems to genomics</p><p><strong>04:33 </strong>How Slavé decided to move from academia to industry</p><p><strong>07:52 </strong>Scaling and diversifying biobank partnerships to unlock new genetic insights</p><p><strong>12:29</strong> Translating biobank data into predictive and preventive medicine</p><p><strong>15:14 </strong>Discovering protective genetic variants through global biobank studies</p><p><strong>19:13 </strong>Leveraging population genetics to identify and validate protective drug targets</p><p><strong>23:52 </strong>Developing an AI tool (MILTON) for integrating multi-omic and clinical data for early disease prediction</p><p><strong>28:12 </strong>Redefining clinical trials in a presymptomatic and predictive medicine era</p><p><strong>30:49 </strong>AstraZeneca’s efforts to make large-scale genomics computing sustainable through green algorithm innovation</p><p><strong>39:05 </strong>AstraZeneca’s open science strategy and global impact of its shared genomics tools</p><p><strong>42:10 </strong>Fostering critical thinking and avoiding groupthink in large-scale genomics research</p><p><strong>45:30 </strong>Looking ahead to the next decade of genomics and precision healthcare</p><p><strong>50:01 </strong>Closing remarks</p><p><strong>Find out more</strong></p><ul><li><p>MILTON (<a href="https://www.astrazeneca.com/r-d/our-technologies/machine-learning-drug-discovery.html"><u>https://www.astrazeneca.com/r-d/our-technologies/machine-learning-drug-discovery.html</u></a>)</p></li><li><p>PheWAS Portal (<a href="https://azphewas.com/"><u>https://azphewas.com/</u></a>)</p></li><li><p>Upcoming webcast with deep dive into MILTON &amp; PheWAS (<a href="https://www.nature.com/articles/d44224-025-00033-7"><u>https://www.nature.com/articles/d44224-025-00033-7</u></a>)</p></li></ul><p>Please consider rating and reviewing us on your chosen podcast listening platform! </p><p><a href="https://drive.google.com/file/d/1Bp2_wVNSzntTs_zuoizU8bX1dvao4jfj/view?usp=share_link"><u>https://drive.google.com/file/d/1Bp2_wVNSzntTs_zuoizU8bX1dvao4jfj/view?usp=share_link</u></a></p><p><br></p>