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The freeCodeCamp Podcast
#94 Killing Cancer with Machine Learning feat. Dr. Amit Deshwar
Aug 25, 2023
Dr. Amit Deshwar, a scientist specializing in machine learning, discusses using machine learning to speed up drug discovery and fight diseases like cancer. They explore Amit's career path, his research on pan cancer analysis and RNA therapeutics, and the process of drug development using machine learning. They also touch on the advantages of being located in San Francisco for machine learning and share unique experiences and interests in the city.
01:37:13
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Quick takeaways
- Machine learning models are used in computational biology to analyze RNA sequences and predict outcomes.
- Machine learning and whole-genome sequencing can help reconstruct the evolutionary history of tumors and identify therapeutic targets.
Deep dives
Using machine learning to understand the rules of RNA biology
In computational biology, machine learning models are being used to study the rules and patterns of RNA biology. By analyzing large datasets of RNA sequences, machine learning models can predict properties and outcomes based on DNA sequences. This allows for a better understanding of how RNA functions and how it contributes to genetic diseases.
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