Chapter
Biological Data Tracking and Science-Backed Recommendations with InsideTracker
00:00 - 04:28 (04:28)
InsideTracker uses machine learning algorithms to provide a clear picture of what's going on inside your body and offer science-backed recommendations for positive diet and lifestyle changes.
Clips
In this podcast episode, Tim Ferris interviews Brian Keating, experimental physicist at USC SD, author of Losing the Nobel Prize, and Into the Impossible podcast host.
00:00 - 01:11 (01:11)
Summary
In this podcast episode, Tim Ferris interviews Brian Keating, experimental physicist at USC SD, author of Losing the Nobel Prize, and Into the Impossible podcast host. They discuss Keating's book, his thoughts on the Nobel Prize, and his podcast, which features conversations with experts on a wide range of scientific topics.
ChapterBiological Data Tracking and Science-Backed Recommendations with InsideTracker
Episode#257 – Brian Keating: Cosmology, Astrophysics, Aliens & Losing the Nobel Prize
PodcastLex Fridman Podcast
This podcast discusses using a combination of blood data, DNA data, and fitness tracker data along with machine learning algorithms to provide personalized recommendations for positive diet and lifestyle changes.
01:12 - 04:28 (03:16)
Summary
This podcast discusses using a combination of blood data, DNA data, and fitness tracker data along with machine learning algorithms to provide personalized recommendations for positive diet and lifestyle changes. An advertisement for Magic Spoon is included.