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This seminar examines how genomics and machine learning can reduce guesswork in drug discovery, with ALS as a primary use case. It also discusses building an integrated biotech company and developing drug candidates through computational and laboratory research.
Syllabus
Introduction.
Our first use case: ALS.
HOW I LEARNED TO CODE.
STARTING AN MD/PHD.
Pharma is paying for failure..
Veteran Drug Developers.
DATA ADVANTAGE.
Human "brains in a dish".
Neurodegeneration is the only disease with growing death rates.
Know where to get advice Find a support network.
Taught by
Stanford Online
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Reviews
5.0 rating, based on 2 Class Central reviews
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Quite intriguing by viewpoint of drug therapy. This means that in future AI induced treatment options can lead a way to solve inexplicable diseases.
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When molecular biology came into work computational biology or AI come side by side for having better research.