Rewriting Human Aging with Physics and AI.

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Gero is a therapeutics company targeting the root physics of aging to add decades — not just years — of healthy life.
Our mission is to intercept functional decline before it manifests as disease, restoring resilience and doubling healthy human lifespan within a single generation.
FOUNDATIONAL SCIENCE
Our mission is to develop drugs that restore resilience, delay disease, and double healthy human lifespan within a single generation.
Foundational Models
of Human Health
Our AI is trained on real-world datasets (100M+ patient records), mapping aging trajectories across populations to reveal causal pathways — not just correlations — driving diseases and aging itself.
Physics-Informed,
Interpretable AI Models
Grounded in thermodynamics, our models separate irreversible aging from reversible disease processes, pinpointing targets that restore systemic resilience and control the rate of aging and disease progression.
Balanced Business Model
We collaborate with pharma on high‑value, age‑related indications while advancing scientifically solid anti‑aging interventions in‑house — de‑risking the science and accelerating patient impact.
ABOUT GERO
Building at the crossroads of theoretical physics, cutting-edge biology, and generative AI.
Our platform is trained on more than 100M+ longitudinal medical records — one of the world’s deepest views into how human bodies age and recover in real life. Using physics-informed models, we translate this data into a quantitative picture of aging being driven by entropy buildup leading to system-wide loss of resilience that makes each stressor a little harder to shake off.
Knowledge is power. We aim at an ambitious yet achievable goal: to deliver first-in class therapeutics able to double human health and lifespan within a single generation.
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Press Release
July 7, 2025
Chugai and Gero Enter into Joint Research and License Agreement to Develop Novel Therapies for Age-Related Diseases
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THE SOLUTION
OUR TECHNOLOGY
THE PROBLEM
THE SOLUTION
OUR TECHNOLOGY
The Problem
All age-related diseases are interlinked via aging process which significantly constrains drug discovery against them.
The Solution
Our model emphasizes the irreversible nature of aging while highlighting the reversible aspects of diseases, distinguishing the two phenomena.
Our Technology
By integrating LHM with rich molecular data, we unveil novel treatments for chronic age-related diseases both in-house and in collaborations with pharmaceutical companies.
Why now
Milestones
Our Science
A New Framework
WHY NOW
We live in an unprecedented time:
Longitudinal clinical data at scale and deep molecular datasets
Advances in machine learning and generative modelling
A new understanding of aging as a thermodynamic process
Together, these shifts enable a fundamentally new way to design medicines that intervene earlier, act deeper, and last longer.
MILESTONES AND MOMENTUM
The convergence of physics, biology, and AI unlocking a new era in drug discovery.
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
2023
Research collaboration with Pfizer to discover targets for fibrotic disease
Pfizer 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
2025
ProtoBind-Diff launched: First AI model for structure-free drug design using only protein sequence
Unsupervised learning of aging principles from longitudinal data
2025
$250M partnership with Chugai Pharmaceutical to co-develop novel antibody drugs for aging
Longitudinal analysis
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
2023
Aging and entropy
"true" biological age, limits of age-reversal
Science logo
OUR SCIENCE
Understanding Aging as a Systems Failure and Engineering Drugs to Fix It
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At Gero, we’re not treating symptoms. We’re targeting the underlying physics of aging itself.
Aging is not a law of nature, it’s a universal property of complex dynamic systems, which can be modelled, measured, and modified.
Drawing from physics, biology, and real-world human data, Gero has developed a first-principles understanding of aging that separates irreversible decline from reversible disease processes.
This insight powers our discovery of therapeutic targets and fuels the design of medicines that restore resilience, intercept functional decline, and extend human healthspan.
A New Framework for Aging Biology
For decades, aging research has focused on the so-called Hallmarks of Aging—accumulated damage and cellular deterioration. But these models haven’t produced disease-modifying therapies or meaningful lifespan extension.
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.
Our findings
Gero’s work shows that aging is fundamentally a loss of systemic resilience driven by increasing entropy.
Theory of Aging
Our physics-informed theory of aging generalizes the earlier hallmarks of aging and damage accumulation theories and provides higher level regulators of aging in long lived mammals, including pets and humans.
A roadmap to better therapies
The framework provides a roadmap to therapies that may produce a lot better life extension effects, is published this framework in top-tier.