What if we all had a personal, digital avatar to guide and nurture our lives, as we pursue a long healthspan? The concept, in a world of personalized medicine, could become a reality, according to future-thinker and longevity entrepreneur Dmitry Kaminskiy. The London-based investor focuses on the intersection of artificial intelligence and the aging process. His latest book, Biomarkers of Longevity, he explores the way technological advances in longevity have exploded in recent years and how breakthroughs in the science of aging will enhance our lives in the decades come. In this LLAMA podcast conversation with Peter Bowes, Dmitry explains his vision of the future and why he believes there will soon come a time when we can “freeze” the aging process.

Recorded: June 29, 2021 | Read a transcript and show notes at the LLAMA podcast website In this episode we cover:

Separating reality from the sci-fi image of extreme life extension
Scientific breakthroughs since 2017 and the explosion in interest in human longevity
Defining the pursuit of realistic healthspan over radical life extension
Measuring the bio markers of aging in the pursuit of an extra ten years
Dmitry’s early life and upbringing in Moldova.
Offering a prize of $1m to the first person to reach the age of 123
A viral idea to draw attention to the importance of investing in longevity
Planning for financial longevity and wellness
What does it mean to freeze the aging process?
Filtering out hype in the longevity space, especially the extrapolation of finding in mice to humans.
The intersection between space medicine and longevity research
The future role of ‘real time’ digital avatars in managing our health and crucial bio markers
Using technology to adjust health-focused lifestyles based on geographic location
Dmitry’s technology-focused lifestyle designed to enhance his longevity.
The value of walking ten thousand steps per day.

Recorded: June 25, 2021 | Read a transcript and show notes at the LLAMA podcast website.

Funzionalità

Risorse

Podcasts

Deep Knowledge Group