Can we really slow aging or even reverse it?
Aging is no longer viewed as an untouchable part of life. According to Eric Verdin, scientists are beginning to treat aging itself as a biological process that can be slowed and potentially reversed.
In this episode, Eric explains why longevity research is entering a new era. He discusses how AI, women’s health, metabolic therapies, and partial reprogramming are reshaping medicine. He highlights GLP-1 drugs as one of the most promising tools today and explains how resetting cells to a younger state may one day restore function in aging tissues.
He also shares the most effective strategies available right now: exercise, sleep, nutrition, mental stimulation, and social connection. While supplements like Creatine may help, Eric stresses that lifestyle remains the foundation of long-term health.
Eric Verdin is a physician-scientist and CEO of the Buck Institute for Research on Aging, where he leads research focused on extending human healthspan.
What You’ll Learn.
Why aging may be treatable.
How AI is transforming medicine.
Why menopause plays a major role in women’s aging.
How GLP-1 drugs may extend healthspan.
What partial reprogramming could mean for rejuvenation.
The best habits for protecting brain health.
Which supplements Creatine, vitamin D, omega-3s, and magnesium Eric Verdin uses.
Why he cautions against peptides and IV Nicotinamide adenine dinucleotide therapies.
This research direction is fascinating. The shift from viewing aging as inevitable to treating it as a biological process that can be modified is already transforming medicine. AI is playing a huge role here too, from protein folding predictions to drug discovery pipelines. We have seen how AI image analysis can detect early signs of age-related conditions far earlier than traditional methods. The convergence of biotech and AI will likely accelerate these breakthroughs even further.
This research on longevity science is incredibly promising. The approach of treating aging as a condition rather than accepting it as inevitable could reshape healthcare as we know it. As someone working in AI-powered image processing, I find the intersection of biotechnology and computational analysis particularly exciting — machine learning is already accelerating drug discovery and protein folding predictions. The next decade could bring breakthroughs none of us anticipated.