EP 214: Innovating large-scale and sustainable genomics with Slavé Petrovski of AstraZeneca
Description
Summary:
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.
Show Notes:
0:00 Intro to The Genetics Podcast
00:59 Welcome to Slavé
02:09 Slavé’s career path from business information systems to genomics
04:33 How Slavé decided to move from academia to industry
07:52 Scaling and diversifying biobank partnerships to unlock new genetic insights
12:29 Translating biobank data into predictive and preventive medicine
15:14 Discovering protective genetic variants through global biobank studies
19:13 Leveraging population genetics to identify and validate protective drug targets
23:52 Developing an AI tool (MILTON) for integrating multi-omic and clinical data for early disease prediction
28:12 Redefining clinical trials in a presymptomatic and predictive medicine era
30:49 AstraZeneca’s efforts to make large-scale genomics computing sustainable through green algorithm innovation
39:05 AstraZeneca’s open science strategy and global impact of its shared genomics tools
42:10 Fostering critical thinking and avoiding groupthink in large-scale genomics research
45:30 Looking ahead to the next decade of genomics and precision healthcare
50:01 Closing remarks
Find out more
MILTON (https://www.astrazeneca.com/r-d/our-technologies/machine-learning-drug-discovery.html)
PheWAS Portal (https://azphewas.com/)
Upcoming webcast with deep dive into MILTON & PheWAS (https://www.nature.com/articles/d44224-025-00033-7)
Please consider rating and reviewing us on your chosen podcast listening platform!
https://drive.google.com/file/d/1Bp2_wVNSzntTs_zuoizU8bX1dvao4jfj/view?usp=share_link
United States
