Computational Genomics
Focuses on using machine learning, AI, and computational biology to map proteins, discover drugs, and model disease.
5 summaries cover computational genomics, from 2 podcasts. See them all
Get new genetics summaries by emailNo expert brief yet
More on Computational Genomics
The latest summaries about computational genomics.
Podcast Summary | Dmitry Korkin on Mapping the Coronavirus Proteins with Computational Biology
Bioinformatics professor Dmitry Korkin explains how his lab modeled the new coronavirus's proteins and what that reveals for drugs and vaccines.
Podcast Summary | Daphne Koller on Machine Learning, Drug Discovery and Disease in a Dish
Daphne Koller on using stem cells and machine learning to find new drugs, lessons from Coursera, and why AI must know when it is unsure.
Podcast Summary | Manolis Kellis on the Biology of Disease: Genetics, Genome Circuitry and the Path to Cures
MIT computational biologist Manolis Kellis explains how genetics is revealing the hidden circuitry behind obesity, Alzheimer's and more.
Podcast Summary | Manolis Kellis on Evolution, Human Uniqueness and Living Alongside Superintelligent AI
MIT biologist Manolis Kellis on what makes humans irreplaceable, evolution's layers, AI love and rights, the six-month pause, and self-actualization.
Podcast Summary | Mark Zuckerberg & Dr. Priscilla Chan: Curing All Human Diseases & the Future of Health & Technology
Mark Zuckerberg and Priscilla Chan on CZI's plan to cure all disease, plus social media, mixed reality, smart glasses and AI assistants.