Every year, more than 2 million people in the United States are diagnosed with treatment-resistant depression.
Desperate for solutions, some brave patients are now volunteering to undergo surgery to place experimental ‘pacemakers’ into their brains.
These implanted electrodes are part of a treatment known as deep brain stimulation, which is currently used to address some cases of Parkinson’s disease and epilepsy.
In this groundbreaking conversation, Professor of Genetics and longevity scientist, Dr. David Sinclair, A.O., Ph.D., joins Sarah Grynberg to unpack the future of human aging, the science of longevity, and how we live today impacts how we age tomorrow.
From reversing blindness in mice to exploring treatments that could one day delay menopause and extend healthy human life, this episode will completely change the way you think about your body, your health, and your future.
But beyond the science, this is also a deeply human conversation about purpose, suffering, love, family, and what it truly means to live a great life.
In this episode, you will learn:
Why aging may actually be reversible.
The daily habits accelerating aging in your body right now.
How stress, loneliness, and cortisol could impact longevity.
The real science behind supplements like NMN, resveratrol, and NAD boosters.
Why exercise, sleep, and relationships matter more than you think.
What Dr. Sinclair believes is coming in the next 10 years of medicine.
How scientists are working to reverse female infertility and delay menopause.
The surprising reason your “biological age” may be younger or older than your real age.
Why suffering through disease and decline should not be considered “normal aging”
The philosophy and mindset Dr. Sinclair lives by every day.
00:00 — Introduction.
01:18 — Why David Sinclair Became Obsessed With Aging.
06:20 — The Childhood Conversation That Changed His Life.
10:18 — The Groundbreaking Discovery That Could Reverse Aging.
12:47 — Reversing Blindness In Mice.
13:33 — Human Trials Are About To Begin.
16:11 — What Accelerates Aging Faster Than Anything Else.
20:08 — Why Relationships & Loneliness Impact Longevity.
24:14 — The Truth About Sun Exposure & Aging.
28:59 — Alzheimer’s, Cancer & Diseases Of Aging.
35:28 — Will Humans Live Longer In The Next Decade?
38:34 — The Supplements David Sinclair Personally Takes.
46:50 — Menopause, Fertility & Reversing Ovarian Aging.
50:20 — What Humans Will Eventually Die From.
51:18 — The Difference Between His Mother & Father’s Aging.
55:37 — Skin Rejuvenation, Hair Growth & Looking Younger.
58:16 — Why He Became A “Struggling Vegan”
01:00:08 — David Sinclair’s Workout & Exercise Routine.
01:03:28 — The Lifespan Community & Podcast.
01:06:02 — The Best Advice He’s Ever Received.
01:08:09 — What A Life Of Greatness Means To David Sinclair.
This episode is a powerful reminder that longevity is not just about living longer… it’s about living better.
I had Tom Benson, CEO of Mitrix on to discuss mitochondrial transplantation. We covered what mitochondria are, the discovery that your body is constantly delivering fresh mitochondria through your bloodstream (people didn’t know that mitochondria were transferred outside the cell until recently!), why we age, what kills mitochondria (stress, smoking, radiation, chemotherapy and certain antibiotics like fluoroquinolones, psych meds), why COVID destroys mitochondria and what that means for long COVID, the Alzheimer’s and Parkinson’s brain tissue regeneration research their company has already done in mice, what mitochondrial transplantation actually is and how it has already been used in pediatric heart surgery, what a bioreactor growing mitochondria for personal use might look like, and more.
Find Tom at mitrix.bio (http://mitrix.bio/).
Mitochondrial Transplantation Conference: • 2025 Mitochondrial Transplantation Conference.
For a high quality education and community consider enrolling in Peterson Academy: https://petersonacademy.com/
—Research Sites—
Newsletter/website: https://mikhailapeterson.com.
Fuller Research Foundation: https://fullerresearch.org.
Lion Diet: https://liondiet.com.
Biotoxin: https://biotoxin.com.
Prescribed-Harm: https://prescribed-harm.com.
—Socials—
While E. Josie Clowney would never suggest that neuroscience is simple, a new study by her team at the University of Michigan could drastically reduce complexity in future studies. Their work focused on instinctual behaviors in fruit flies, but it has the potential to accelerate work to better understand the neurobiology that underlies behavior and decision-making in mammals, including humans.
The research establishes a new way to understand neurons, their connectivity and the behaviors they control. Within this new framework, the researchers can circumvent the conventional approach of considering each type of neuron individually and instead focus on groupings defined by shared structure and by two sets of regulatory genes. The work is published in the journal Nature.
While there are more than 8,000 kinds of neurons in the fruit fly cerebrum —the part of its brain where instinctual behaviors are hardwired—there are less than 200 major structural groups, or ground plans. Led by Najia Elkahlah, who recently defended her doctoral thesis in the Clowney lab, the team’s discoveries revealed how these ground plans get set up. There is a sort of order or hierarchy, where one set of genes coordinates the formation of the ground plan, and the other set produces small differences in shape and connectivity among neurons within each ground plan.
The human brain contains roughly 86 billion neurons. That number appears in almost every popular account of memory and intelligence, and it tends to carry an implicit argument: that the scale of human cognition follows from the scale of this cell count. What is less often mentioned is that the brain contains a roughly comparable number of a different cell type entirely, one that researchers have treated, for most of the history of neuroscience, as little more than biological scaffolding.
A paper published on 23 May in the Proceedings of the National Academy of Sciences puts forward a new hypothesis about what those cells, called astrocytes, might actually be doing. The work comes from a team at MIT: lead author Leo Kozachkov, Jean-Jacques Slotine, a professor of mechanical engineering and brain and cognitive sciences, and Dmitry Krotov of the MIT-IBM Watson AI Lab, who is the paper’s senior author. Their claim is not that astrocytes have been misunderstood in any dramatic sense; it is the more careful suggestion that they may be doing computational work that neurons, on their own, cannot account for.
This is a hypothesis supported by a mathematical model. The experimental work needed to test it has not yet been done.
A new Yale study reveals that major organ systems in the body aren’t just passive structures operating on directions from command central—the brain—but instead are active participants in controlling their own functions.
Writing in the journal Nature, a team of researchers led by Yale’s Rui Chang demonstrates how organs develop and maintain their own neural circuitry, which in turn communicates with the brain in a sort of two-way conversation.
The findings provide a new understanding of how the body and brain communicate via networks of neurons embedded inside organs that constitute a mini-nervous system, called “organ intrinsic nervous systems,” which help control critical functions such as digestion, heart rhythm, breathing, insulin secretion, and immune responses, the researchers say.
The problem? Human brains (and animal brains, too) are incredibly complex. While these handcrafted models are great starting points, they often oversimplify things and miss the messy, rich reality of actual behavior. On the flip side, using powerful, flexible AI to analyze data can capture that richness, but AI usually gives us a “black box”—it finds patterns but can’t explain *why* or *how* it found them, leaving scientists to do the heavy lifting of figuring out the rules.
Scientific models are widely used across the natural sciences as an interface between scientific theories and empirical data [1]. Such models play a key role, for example, in the study of human and animal learning, where they express algorithmic hypotheses and relate them to psychology and neuroscience data [2, 3]. These models are traditionally handcrafted by expert researchers based on existing theory or new insights. Such handcrafted models, however, are now known to fall short of capturing the full richness of behavior, even in their narrow domains [4– 7]. An alternative data-driven approach has emerged, seeking to discover new insights by fitting and interpreting flexible models [8– 11]. However, these tools require substantial human effort to derive insight from data, and it has been unclear how to discover new ideas from data efficiently. Here, we present DataDIVER, a general approach for automatically discovering computational models from data, and demonstrate that these models surface novel mechanistic insights into human and animal learning. Our approach delivers models that take the form of short computer programs, which are optimized both to fit data well and to be simple. These programs explicitly connect with existing theoretical frameworks and are readily understandable by human scientists. They can also be used to make novel predictions, some of which we show are borne out in re-analysis of existing data. General-purpose tools for surfacing new ideas from data, especially in combination with the large datasets that are increasingly available in many fields, stand to dramatically accelerate scientific discovery.
The authors have declared no competing interest.
Eric Wargo, PhD, is author of Time Loops: Precognition, Retrocognition, and the Unconscious. He is an anthropologist and science writer. His blog is http://thenightshirt.com/.
Here he defines time loops as akin to self-fulfilling prophecies. He asserts that they could be the very basis of the creative process. He explains that retrocausation is to physics what precognition is to parapsychology. He explores the social and psychological dynamics associated with the notion of premonitions. He reviews the experiment in time of J. W. Dunne suggesting that dreams contain much information seemingly derived from the future. He applies Dunne’s methology to dreams of Sigmund Freud.
New Thinking Allowed host, Jeffrey Mishlove, PhD, is author of The Roots of Consciousness, Psi Development Systems, and The PK Man. Between 1986 and 2002 he hosted and co-produced the original Thinking Allowed public television series. He is the recipient of the only doctoral diploma in \.