Published Dec 21, 2018

Drug Discovery with Machine Learning

Kyle Polich dives into the transformative role of machine learning in drug discovery, featuring Alexander Zhebrak from Insilico Medicine. They explore how technologies like deep learning and generative models are reshaping the industry by accelerating hypothesis generation, enhancing efficiency, and boosting reproducibility.

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Dexa/Kyle Polich

Drug Discovery with Machine Learning

Topics covered

Popular Clips

Exploring Drug Discovery

Machine Learning in Drug Discovery

Advancements in Drug Discovery

Modeling Chemical Space

Drug Discovery Pipeline

Inspiring Innovations

Mapping the Chemical Space

Reproducibility in Drug Discovery

Modeling Drug-Protein Interactions

Episode Highlights

Innovations and Challenges

Drug Discovery Process

Machine Learning Applications

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Drug Discovery with Machine Learning

Topics covered

Popular Clips

Episode Highlights

Innovations and ChallengesMachine learning is transforming drug discovery by enhancing hypothesis generation and reducing development timelines. Alexander Zhebrak highlights the potential for these technologies to disrupt the industry by improving efficiency and effectiveness.

Innovations and Challenges

Drug Discovery ProcessThe conversation with Alexander Zhebrak explores the intricate processes of drug discovery using machine learning. He details how Insilico Medicine leverages data pipelines and generative models to identify and develop potential drug compounds.

Drug Discovery Process

Machine Learning Applications

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