AI-Powered Longevity Science — One Gene to Reverse Aging? | Daniel Ives PhD

Health Longevity Secrets

AI-Powered Longevity Science — One Gene to Reverse Aging? | Daniel Ives PhD

Health Longevity SecretsApr 28, 2026

Why It Matters

The shift to AI‑driven, high‑throughput aging research dramatically accelerates discovery, turning years of wet‑lab work into virtual experiments that can be completed in months. This approach promises faster development of therapies that could extend healthspan and treat age‑related diseases, making the longevity revolution more tangible for investors, clinicians, and the public.

Key Takeaways

  • AI runs centuries of experiments in silico, accelerating discovery.
  • Mitochondrial DNA mutations alone don't drive epigenetic aging clocks.
  • Shift Bioscience uses single‑cell aging clocks to identify rejuvenation genes.
  • Partial Yamanaka reprogramming faces oncogenic risks, limited mechanisms.
  • Boosting mitochondrial number can slow epigenetic clock ticking.

Pulse Analysis

The episode highlights how AI and machine‑learning platforms now let researchers run centuries of wet‑lab experiments virtually, compressing discovery timelines dramatically. Dr. Daniel Ives explains that Shift Bioscience leverages single‑cell transcriptomics and high‑throughput aging clocks to screen thousands of genetic perturbations, then validates only the most promising hits in the lab.

\n\nIves recounts his early focus on mitochondrial DNA mutations as the root cause of aging, a theory that fell apart when epigenetic clocks—robust methylation‑based age biomarkers—showed no correlation with induced mitochondrial damage. Subsequent work revealed a broader link: increasing mitochondrial number or function can decelerate clock ticking, while disrupting membrane potential accelerates it.

\n\nFinally, the conversation contrasts classic partial reprogramming using Yamanaka factors with Shift’s approach of identifying single genes that rejuvenate cells without inducing pluripotency. While Yamanaka factors can reset epigenetic age, they carry oncogenic risk and obscure mechanistic insight. Shift’s AI‑driven screens have uncovered gene candidates that improve fibrosis and age‑related hearing loss, offering clearer translational pathways for investors and pharma partners seeking scalable, safety‑first longevity interventions.

Episode Description

What if an AI could run centuries of aging experiments in a year? Dr. Daniel Ives, CEO of Shift Bioscience, explains how his team used a virtual cell to discover SB000 — a single gene that matches Yamanaka factor rejuvenation without cancer risk.

CHAPTERS:

00:00 — Centuries of experiments in a year

02:03 — Daniel's journey: physics → Aubrey de Grey

10:08 — The epigenetic clock breakthrough

12:09 — The 13 mitochondrial genes

20:09 — Yamanaka factors (OSKM) explained

22:10 — Partial reprogramming: the weekend analogy

24:11 — The cancer risk problem

26:11 — AI virtual cell: how it works

32:12 — AI-driven dark labs

40:16 — Single-gene interventions

42:17 — Shift's discovery: genes that reverse aging

50:19 — Animal testing begins

62:20 — Hearing loss: the unexpected aging connection

66:21 — Rapamycin reverses hearing loss in animals

78:25 — N=1 medicine and wearables

84:26 — Closing

REFERENCES:

Shift Bioscience: shiftbioscience.com

Partial Reprogramming (Nature Comms, 2024): Nature

Epigenetic Clock (Frontiers in Aging, 2024): Frontiers

GUEST: Dr. Daniel Ives, PhD — CEO, Shift Bioscience, Cambridge UK

HOST: Dr. Robert Lufkin MD | robertlufkinmd.com

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Show Notes

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