Artwork

Content provided by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Marco Lorenzi: FedBioMed

41:18
 
Share
 

Manage episode 497112814 series 2997170
Content provided by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Marco Lorenzi is a research scientist in the EPIONE team of Inria Sophia Antipolis and Université Côte d’Azur, France. Marco's research is on the study of statistical learning methods to model heterogeneous data in biomedical applications. His group has developed the FedBioMed framework.

  continue reading

96 episodes

Artwork

Marco Lorenzi: FedBioMed

AI-ready Healthcare

21 subscribers

published

iconShare
 
Manage episode 497112814 series 2997170
Content provided by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Anirban Mukhopadhyay, Henry Krumb, Anirban Mukhopadhyay, and Henry Krumb or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Marco Lorenzi is a research scientist in the EPIONE team of Inria Sophia Antipolis and Université Côte d’Azur, France. Marco's research is on the study of statistical learning methods to model heterogeneous data in biomedical applications. His group has developed the FedBioMed framework.

  continue reading

96 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play