43. Daria Romanovskaia - CeMM - Applying Machine Learning to Precision Medicine

43. Daria Romanovskaia - CeMM - Applying Machine Learning to Precision Medicine

Author: Manuel Pasieka June 28, 2023 Duration: 46:00
Austrian Artificial Intelligence Podcast
Technology

# Summary

Personalized Medicine has the goal to improve the efficiency of medical treatments that is particularly import for deceases like cancer.


The basic premise of personalized medicine is that by understanding what distinguishes different patients from one another, we can design patience specific treatment plans that are more effective then giving the same treatment to everyone.

These patience differences can be studied from different perspectives, like a patience gender, their age, life style or more modern state of the art modalities, like a patience genome and epigenetic information.


Today on the show I am talking to Daria Romanovskaia an PhD Candidate in the Bocklab at the Research Center for Molecular Medicine in Vienna.


Daria describes how she applied machine learning methods on genetic and epigenetic data to identify patterns in gene regulation that can be used to create bio-makers that enable a targeted approach to decease treatment.


We will discuss how representation learning is used to perform dimensionality reduction and how clustering in combination with biological understanding of deceases can be used to identify relevant up and down regulated genes.


# TOC

00:00:00 Beginning

00:00:27 Episode Introduction

00:01:47 Guest Introduction

00:03:57 What is precision medicine?

00:06:35 Short introduction into genetics

00:13:25 High dimensional data and how to work around it

00:17:16 Variational Autoencoders

00:24:19 Topic Modelling

00:32:19 Analyzing embedding clusters

00:35:56 Combining data analysis and domain expertise

00:39:32 The human cell atlas



# Sponsors

Quantics: Supply Chain Planning for the new normal - the never normal - https://quantics.io/

Belichberg GmbH: We do digital transformations as your innovation partner - https://belichberg.com/



# References

https://www.linkedin.com/in/daria-romanovskaia-b37b2a8a/ - Daria Romanovskaia

https://www.bocklab.org/ - Bock research lab at CeMM

https://www.humancellatlas.org/ - Human Cell Atlas

https://cemm.at/research/groups/christoph-bock-group


Hosted by Manuel Pasieka, the Austrian Artificial Intelligence Podcast offers a grounded, local perspective on a global phenomenon. Instead of abstract theorizing, each conversation focuses on the tangible impact and practical applications of AI within Austria's unique ecosystem. You'll hear from a diverse range of guests-researchers, entrepreneurs, policymakers, and creatives-who are actively shaping this landscape, discussing both the remarkable opportunities and the nuanced challenges specific to the region. The discussions delve into how these technologies are being integrated into Austrian industry, academia, and society, moving beyond hype to examine real-world implementation and ethical considerations. This podcast serves as an essential audio forum for anyone in Austria, or with an interest in the European tech scene, looking to understand how artificial intelligence is evolving right here. It’s about the people behind the algorithms and the local stories within a global revolution. For those engaged with the content, questions and suggestions are always welcome at the provided email address.
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