The convergence of physics, biology, and AI for unlocking life-changing medicines.

We model how aging and disease emerge over time in humans, turning large-scale longitudinal data into causal targets, novel molecules, and more translatable therapeutic programs.

Partnered with Gero

Published in

FOUNDATIONAL SCIENCE
Our mission is to develop drugs that restore resilience, delay disease, and double healthy human lifespan within a single generation.
OUR THESIS

Why we built this platform

Most longevity research targets the hallmarks of aging — senescence, inflammation, telomere loss. These can delay specific diseases. They have not, after billions of dollars, beaten what caloric restriction did for mice almost a century ago.

The reason is that aging isn't one process. Our work shows it's two: a reversible component of physiological noise that drives disease late in life, and an irreversible component of entropic damage that sets a hard ceiling on human lifespan at 120–150 years.

This separation, formalized in the Fedichev-Gruber theory, defines three classes of intervention:

  • Level 1 — Hallmark drugs. Today's longevity field. Delay individual diseases. Small effect on aging itself.
  • Level 2 — Noise-reducing drugs. A new class. Decouple disease from aging. Potentially 30–40 additional healthy years, reachable with current technology.
  • Level 3 — Entropy-controlling drugs. Push the ceiling itself. The long horizon.

Our platform is built for Level 2 and Level 3 — where the rest of the field hasn't looked.

Go to Platform

$250M co-development with Chugai Pharmaceutical

In July 2025, Gero entered a joint research and license agreement with Chugai — a member of the Roche Group — to discover antibody therapies for age-related diseases. The partnership applies Gero's Large Health Models to in-human target identification, with Chugai leading antibody development against selected targets.

Go to Platform
The convergence of physics, biology, and AI unlocking a new era in drug discovery.
SCIENTIFIC COLLABORATORS
Brian Kennedy, PhD
Distinguished Prof Biochemistry & Physiology
Distinguished Professor of Biochemistry and Physiology, Yong Lin School of Medicine, NUS, Singapore, Buck Institute for Research on Ageing, Novato, CA, USA.
Vadim Gladyshev, PhD
Professor of Medicine at HSM
Antioxidant/redox biology of aging and complex diseases
Andrei Gudkov, PhD
Senior VP Research Programming and Development
Senior VP Research Programming and Development of Roswell Park Cancer Institute. CSO of Everon Biosciences, est. in 2010 in partnership with Roswell Park Cancer Institute.
MISSION
To eliminate root causes of age-related diseases and double human health- and lifespan within the current generation
Work regardless of patient age
Target only reversible conditions
Effects within clinical trial-time frames
WHY NOW
We are living at the best of times longitudinal data + machine learning = physics-informed modelling of human biology
2025
ProtoBind-Diff launched: First AI model for structure-free drug design using only protein sequence
2025
2025 Partnership with Chugai Pharmaceutical (Roche Group) worth up to $250M in milestones plus royalties, to co-develop novel antibody drugs for age-related disease
Longitudinal analysis
Nature Communications Logo
2019 - 2021
Landmark publications defining resilience and biological age, the first identification of human maximum lifespan from biomedical data
Research collaboration with
Nature Communications Logo
2023
Research collaboration with Pfizer to discover targets for fibrotic disease
Nature Communications Logo
2019 - 2021
Landmark publications defining resilience and biological age, the first identification of human maximum lifespan from biomedical data
Gero Real World Data Set is built
Nature Communications Logo
2025
Nature Portfolio launches a dedicated journal collection on gerophysics, the emerging field Gero's physics-based approach helped define. Gero's Peter Fedichev and Brian Kennedy are among the editors.
Unsupervised learning of aging principles from longitudinal data
Pfizer logo
2023
Research collaboration with Pfizer to discover targets for fibrotic disease
Nature Communications Logo
2023
Aging and entropy
"true" biological age, limits of age-reversal
Science logo