Foundations of Gerophysics
Journal article, 2026
The inaugural Global Conference on Gerophysics convened 160 researchers across physics, biology, computation, and medicine in Singapore on March 5–6, 2025. With 31 speakers, the two-day event explored how physical laws, and quantitative principles unify aging science, linking biological processes to longevity patterns. Sessions covered diverse aging aspects, from developmental stages to species comparisons. The meeting showcased innovative methods to study aging, emphasizing data-driven insights. A central theme was bridging theory and experiment to advance understanding. It concluded with a consensus around (1) shared multi-modal datasets; (2) physics-based definitions for “aging”, “rejuvenation”, and “healthspan”; (3) models predicting intervention outcomes; and (4) translational links between non-human species and human research. These priorities outline a practical path for a quantitative, predictive Gerophysics, building on the 2025 conference’s insights to shape future aging research.
aging biology
geroscience
complex systems
theoretical physics
longevity
gerophysics
Author
Maximilian Unfried
Yong Loo Lin School of Medicine
Weihan Huai
Yong Loo Lin School of Medicine
Kamil Pabis
Yong Loo Lin School of Medicine
Sandra Jose
Yong Loo Lin School of Medicine
Zhi Meng Lim
Yong Loo Lin School of Medicine
Uri Alon
Weizmann Institute of Science
Marija Cvijovic
University of Gothenburg
Chalmers, Mathematical Sciences, Applied Mathematics and Statistics
Nir Eynon
Monash University
Peter Fedichev
Gero
Yumi Kim
Ulsan National Institute of Science and Technology (UNIST)
Leong Kim Whye
National University of Singapore (NUS)
Csaba Kerepesi
Hungarian Academy of Sciences
Woon Puay Koh
Agency for Science, Technology and Research (A*STAR)
Yong Loo Lin School of Medicine
Dmitrii Kriukov
Skolkovo Institute of Science and Technology
Artificial Intelligence Research Institute (AIRI)
Matt Kaeberlein
Optispan
Feng Ling
Institute of High Performance Computing, Singapore
National University of Singapore (NUS)
Glen Pridham
Weizmann Institute of Science
Michael Rera
Paris Descartes University
Steffen Rulands
Ludwig Maximilian University of Munich (LMU)
Andrew Rutenberg
Dalhousie University
Kumar Selvarajoo
Yong Loo Lin School of Medicine
School of Biological Sciences
Agency for Science, Technology and Research (A*STAR)
Ben Shenhar
Weizmann Institute of Science
Morten Scheibye-Knudsen
University of Copenhagen
Andrei E. Tarkhov
Retro Biosciences
Andrew Teschendorff
Chinese Academy of Sciences
Weilan Wang
Yong Loo Lin School of Medicine
Ee Hou Yong
School of Physical and Mathematical Sciences
Yifan Yang
Westlake University
Jan Gruber
Yong Loo Lin School of Medicine
Brian K. Kennedy
Yong Loo Lin School of Medicine
Aging
19454589 (eISSN)
Vol. 18 1 513-530Subject Categories (SSIF 2025)
Biological Systematics
Other Biological Topics
Evolutionary Biology
Ecology
Zoology
DOI
10.18632/aging.206378