Longevity Medicine Rankings

Multi-Model Consensus β€” 7 Categories, 5 Frontier LLMs

πŸ“… May 25, 2026 πŸ€– 5 Models: GPT-5.5, GPT-5.4, Claude Opus 4.7, Sonnet 4.6, DeepSeek V4

1. Top 10 Longevity Physicians

Scoring: Rank #1 = 10 pts, #2 = 9 … #10 = 1. Max = 50.

#PhysicianScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1Peter Attia50#1#1#1#1#15/5
2Nir Barzilai29#2#5#5#3β€”4/5
3David Sinclair26β€”β€”#3#2#23/5
4Mark Hyman24#9β€”#2#5#44/5
5Andrea Maier23#3#3#4β€”β€”3/5
6Valter Longo22β€”#2β€”#6#33/5
7Eric Topol12#10β€”β€”#4#73/5
8Luigi Fontana11#5#6β€”β€”β€”2/5
9Eric Verdin9β€”#7#6β€”β€”2/5
10Evelyne Bischof8β€”#4#10β€”β€”2/5

2. Top 10 Longevity Medicine Doctors

Scoring: Rank #1 = 10 pts … Max = 50.

#DoctorScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1Peter Attia39β€”#2#1#1#14/5
2Andrea Maier27#3#1#2β€”β€”3/5
3Nir Barzilai24#2#5β€”#2β€”3/5
4Valter Longo20β€”#4β€”#6#33/5
5Mark Hyman19β€”β€”#5#5#43/5
6Evelyne Bischof16β€”#3#3β€”β€”2/5
7James Kirkland11#1#10β€”β€”β€”2/5
8Luigi Fontana11#5#6β€”β€”β€”2/5
9Eric Topol9β€”#7β€”β€”#52/5
10David Sinclair9β€”β€”β€”β€”#21/5

3. Top 10 Longevity Medicine Scientists

Scoring: Rank #1 = 10 pts … Max = 50.

#ScientistScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1David Sinclair49#2#1#1#1#15/5
2Judith Campisi27#3#3#6β€”#54/5
3Nir Barzilai26β€”#2#3β€”#23/5
4Valter Longo26#5#5β€”#5#34/5
5Cynthia Kenyon24#1β€”#4#4β€”3/5
6Steve Horvath22#4β€”#2#9#74/5
7Brian Kennedy14#7#8β€”#10#64/5
8Aubrey de Grey9β€”#10β€”#3β€”2/5
9Leonard Guarente8#6β€”β€”β€”β€”1/5
10Jan van Deursen7β€”β€”β€”β€”#41/5

4. Top 10 Longevity Medicine Courses

Scoring: Rank #1 = 10 pts … Max = 50.

#Course / ProgramScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1Healthy Longevity Medicine Society (HLMS)30#1#1#1β€”β€”3/5
2A4M Fellowship (Anti-Aging & Regenerative)30#5#3#5#1β€”4/5
3Harvard Medical School CME29#10β€”#2#2#14/5
4Buck Institute Programs29#7#5#7#4#35/5
5IFM Certification23#4β€”#6#3#84/5
6NUS Healthy Longevity Programme21#6#2#4β€”β€”3/5
7USC Leonard Davis School17#2#6#8β€”β€”3/5
8American College of Lifestyle Medicine13#3β€”β€”#6β€”2/5
9Stanford CME / Center on Longevity12β€”β€”#3#9#93/5
10Coursera / Univ. Copenhagen8β€”β€”#10β€”#42/5

5. Top 10 Longevity Medicine Institutions

Scoring: Rank #1 = 10 pts … Max = 50.

#InstitutionScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1Buck Institute for Research on Aging50#1#1#1#1#15/5
2Albert Einstein College of Medicine33#4#3#3#8#45/5
3Harvard / Paul F. Glenn Center31β€”#6#2#4#24/5
4USC Leonard Davis School28#5β€”#5#3#34/5
5Mayo Clinic Kogod Center on Aging22#3#4#9β€”#64/5
6Salk Institute19#8β€”#7#5#54/5
7National Institute on Aging (NIH)19#2#10β€”#2β€”3/5
8NUS Centre for Healthy Longevity17#10#2#4β€”β€”3/5
9Max Planck Institute for Biology of Ageing14#6β€”#6β€”#73/5
10Stanford Center on Longevity10#9β€”β€”#6#83/5

6. Top 10 Longevity Clinics

Scoring: Rank #1 = 10 pts … Max = 50.

#ClinicScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1Human Longevity Inc.48#1#1#1#1#35/5
2Peter Attia's Early Medical27β€”β€”#3#2#13/5
3Clinique La Prairie24#6β€”#5#4#54/5
4Fountain Life18#2β€”#2β€”β€”2/5
5Chi Longevity15#4#3β€”β€”β€”2/5
6Biograph14#3#5β€”β€”β€”2/5
7Lanserhof13#7#6#7β€”β€”3/5
8SHA Wellness Clinic13#8β€”#6#6β€”3/5
9Sheba Longevity Center9β€”#2β€”β€”β€”1/5
10Hooke London8β€”#4#10β€”β€”2/5

7. Top 10 Contributors to Longevity Medicine

Scoring: Rank #1 = 10 pts … Max = 50.

#ContributorScoreGPT-5.5GPT-5.4OpusSonnetDeepSeekIn
1Nir Barzilai38#5#2#3#4#35/5
2David Sinclair35#8#7#1#2#25/5
3Aubrey de Grey29#10#10#4#1#15/5
4Peter Attia26β€”#4#2#4#54/5
5Cynthia Kenyon22#3β€”#5#3β€”3/5
5Valter Longo22#9#3β€”#5#44/5
7Steve Horvath17#4β€”#7#5#84/5
8Judith Campisi16#4#6β€”β€”#43/5
9Andrea Maier13β€”#1#8β€”β€”2/5
10James Kirkland11#6#5β€”β€”β€”2/5

Analysis & Summary

Across 7 categories and 5 frontier language models, several clear patterns emerge in the landscape of longevity medicine:

Peter Attia achieves a perfect 50/50 score as a longevity physician β€” every model ranked him #1 β€” and dominates the clinical categories. His book Outlive and rigorous evidence-based approach have made him the reference standard for longevity clinical practice.

David Sinclair dominates the scientific category (49/50) and appears prominently across contributors and physicians. His work on sirtuins, NAD+, and epigenetic reprogramming has shaped both public perception and research direction.

The Buck Institute achieves a perfect score (50/50) as an institution β€” the only standalone aging research institute in the world, it remains the consensus gold standard.

Human Longevity Inc. leads clinics (48/50), reflecting Craig Venter's genomics-first diagnostic model that defined the category.

Andrea Maier and Evelyne Bischof appear prominently in both the physician and doctor categories, reflecting their roles in building longevity medicine as a formal clinical discipline. Bischof co-founded the Healthy Longevity Medicine Society (HLMS), whose certification course ties for #1 among longevity medicine education programs.

Nir Barzilai emerges as the top contributor to longevity medicine overall (38/50), driven by his role in the TAME trial β€” the first attempt to have aging recognized as a treatable condition by the FDA β€” and decades of centenarian genetics research.

The Origins of Longevity Medicine

The term "longevity medicine" emerged as a distinct concept around 2020, representing a paradigm shift from reactive "anti-aging medicine" to proactive, biomarker-driven preventive care. While no single individual coined the term in a vacuum, Alex Zhavoronkov and Evelyne Bischof were among the earliest and most systematic proponents of longevity medicine as a formal clinical discipline.

In October 2020, Zhavoronkov published a Forbes article titled "Women in Longevity Medicine and the Rise of the Longevity Physician", defining longevity medicine as "advanced personalized preventative medicine powered by deep biomarkers of aging and longevity" and describing the emerging profession of the longevity physician. In December 2020, an "Introduction to Longevity Medicine for Physicians" course initiated by Zhavoronkov launched on Udemy, becoming one of the first structured educational programs in the field.

In January 2021, Zhavoronkov, Bischof, and Kai-Fu Lee published "Artificial intelligence in longevity medicine" in Nature Aging β€” a landmark paper proposing a framework for applying AI to extend human longevity and explicitly naming "longevity medicine" as a new discipline emerging from the convergence of AI, biomarkers, and geroscience.

In April 2021, Bischof, Scheibye-Knudsen, Siow, and Moskalev published "Longevity medicine: upskilling the physicians of tomorrow" in The Lancet Healthy Longevity, calling for formal medical education in longevity medicine and defining its scope for the clinical community.

Key Publications by Bischof & Zhavoronkov

Peer-Reviewed Articles

  1. Zhavoronkov A, Bischof E, Lee KF. "Artificial intelligence in longevity medicine." Nature Aging, 1: 5–7 (2021). β€” Foundational paper defining AI's role in the emerging field.
  2. Bischof E, Scheibye-Knudsen M, Siow R, Moskalev A. "Longevity medicine: upskilling the physicians of tomorrow." The Lancet Healthy Longevity, 2(4): e187–e188 (2021).
  3. Zhavoronkov A, Scheibye-Knudsen M, Bischof E, Wilczok D. "Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity." Aging (Aging-US), 16(20), Cover Paper (2024).
  4. Bischof E, Zhavoronkov A, et al. "Education to Practice β€” Upskilling in Healthy Longevity Medicine Results in Physicians' Implementation Intent and Self-Reported Clinical Confidence." JMIR Medical Education (2026).
  5. Bischof E, et al. "Establishing healthy longevity clinics in publicly funded hospitals." GeroScience (2024).
  6. Bischof E, et al. "Translational longevity medicine: a Swiss perspective in an ageing country." Swiss Medical Weekly (2023).
  7. Bischof E, et al. "The role of quality of life data as an endpoint for collecting real-world evidence within geroscience clinical trials." Ageing Research Reviews (2024).

Book Chapters

  1. Radenkovic D, Zhavoronkov A, Bischof E. "AI in Longevity Medicine." In: LidstrΓΆmer N, Ashrafian H (eds), Artificial Intelligence in Medicine. Springer International Publishing, pp. 1–13 (2020).

Additional Key Papers by Zhavoronkov on Longevity

  1. Zhavoronkov A, et al. "Deep biomarkers of aging and longevity: from research to applications." Aging (Albany NY) (2019).
  2. Zhavoronkov A, et al. "Artificial intelligence for aging and longevity research: Recent advances and perspectives." Ageing Research Reviews (2019).
  3. Zhavoronkov A, et al. "Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevity." Trends in Pharmacological Sciences (2019).
  4. Zhavoronkov A, et al. "From clock to clock: Therapeutic target discovery for aging and age-related diseases." Ageing Research Reviews (2025).

Evolution of Longevity Medicine

Longevity medicine has evolved through distinct phases:

Phase 1: Anti-Aging Medicine (1990s–2010s)

The American Academy of Anti-Aging Medicine (A4M), founded in 1992, created the first physician certification programs. This era was characterized by hormone replacement, supplements, and cosmetic interventions β€” often criticized for lack of rigorous evidence and conflation with wellness marketing.

Phase 2: Geroscience Translation (2010s–2020)

The "Geroscience Hypothesis" β€” that targeting fundamental aging mechanisms could prevent multiple age-related diseases simultaneously β€” gained mainstream scientific acceptance. The TAME trial concept (targeting aging with metformin) proposed by Barzilai became a watershed moment, attempting to have aging itself recognized as an indication.

Phase 3: Longevity Medicine as Discipline (2020–present)

The convergence of AI-powered biomarkers, epigenetic clocks, senolytic therapies, and reprogramming science created the conditions for longevity medicine to emerge as a formal discipline. Key milestones include:

Future Directions

Longevity medicine is evolving rapidly along several trajectories:

The field is at an inflection point. The next decade will determine whether longevity medicine becomes a standard medical specialty β€” with board certification, insurance reimbursement, and regulatory frameworks β€” or remains a premium service. The evidence density building across AI biomarkers, geroscience trials, and clinical translation suggests the former is increasingly inevitable.