#18: AI for Drug Discovery and Longevity with Noah Weber
Update: 2021-09-11
Description
In this episode, we are joined by Noah Weber, CTO and Head of Machine Learning at Celeris Therapeutics and lecturer at FH Technikum Vienna.
We discuss the challenges of developing new drugs, protein degradation, the promises of AI in revolutionizing the field, the pipeline Celeris Therapeutics is developing, and how graph neural networks and geometric deep learning come in handy in modeling protein interactions.
We talk about AI transforming medicine at large, from genomic-based diagnostics to a completely new outlook on longevity.
We close by discussing general artificial intelligence, machine learning and statistics, reinforcement learning, AlphaGo, software development vs. fundamental research, and many more topics.
The podcast is hosted by Manuel Brenner.
Find out more about us on: https://acit-science.com/
We discuss the challenges of developing new drugs, protein degradation, the promises of AI in revolutionizing the field, the pipeline Celeris Therapeutics is developing, and how graph neural networks and geometric deep learning come in handy in modeling protein interactions.
We talk about AI transforming medicine at large, from genomic-based diagnostics to a completely new outlook on longevity.
We close by discussing general artificial intelligence, machine learning and statistics, reinforcement learning, AlphaGo, software development vs. fundamental research, and many more topics.
The podcast is hosted by Manuel Brenner.
Find out more about us on: https://acit-science.com/
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