Chapter
The Challenges of Bringing Geroscience to Clinical Practice
2:06:59 - 2:15:58 (08:59)
A challenge for the field of bringing geroscience to clinical practice is that most physicians are trained to not treat healthy individuals. This mindset needs to shift to view aging as a precursor for disease and the importance of preventative measures in aging populations.
Clips
The challenge of introducing the potential side effects and rewards of aging biology and geroscience from a clinical perspective is that most physicians are trained to do no harm and to not treat people who aren't sick.
2:06:59 - 2:08:38 (01:39)
Summary
The challenge of introducing the potential side effects and rewards of aging biology and geroscience from a clinical perspective is that most physicians are trained to do no harm and to not treat people who aren't sick. Overcoming this challenge requires an open-minded view of potential side effects and benefits.
ChapterThe Challenges of Bringing Geroscience to Clinical Practice
Episode#610: The Life-Extension Episode — Dr. Matt Kaeberlein on The Dog Aging Project, Rapamycin, Metformin, Spermidine, NAD+ Precursors, Urolithin A, Acarbose, and Much More
PodcastThe Tim Ferriss Show
The current medical system is focused on treating illness rather than preventing it, which can be costly in multiple ways.
2:08:38 - 2:12:09 (03:31)
Summary
The current medical system is focused on treating illness rather than preventing it, which can be costly in multiple ways. Additionally, people often misunderstand the limitations of science and the importance of prevention in an effective healthcare system.
ChapterThe Challenges of Bringing Geroscience to Clinical Practice
Episode#610: The Life-Extension Episode — Dr. Matt Kaeberlein on The Dog Aging Project, Rapamycin, Metformin, Spermidine, NAD+ Precursors, Urolithin A, Acarbose, and Much More
PodcastThe Tim Ferriss Show
In science, there is a tendency to ignore data that doesn't fit a given model, leading to inaccurate conclusions.
2:12:09 - 2:15:58 (03:48)
Summary
In science, there is a tendency to ignore data that doesn't fit a given model, leading to inaccurate conclusions. Acknowledging this and being open to being wrong is necessary to avoid this pitfall and embrace new data and ideas.