Chapter

Personalized Health Data Analysis with Machine Learning
listen on Spotify
04:08 - 08:49 (04:40)

Machine learning algorithms analyze blood data, DNA data, and fitness tracker data to create personalized health recommendations based on real data, allowing for informed decision-making. Sponsored by Roca, a company that offers glasses and sunglasses for all conditions.

Clips
Algorithms that analyze blood, DNA, and fitness tracker data can provide personalized recommendations for positive diet and lifestyle changes.
04:08 - 08:49 (04:40)
listen on Spotify
Personalized Healthcare
Summary

Algorithms that analyze blood, DNA, and fitness tracker data can provide personalized recommendations for positive diet and lifestyle changes. Making health decisions based on real data is important for individuals, especially if those decisions are grounded in personalized longitudinal data.

Chapter
Personalized Health Data Analysis with Machine Learning
Episode
#245 – Tom Brands: Iowa Wrestling
Podcast
Lex Fridman Podcast