Accelerating
the discovery
of therapies
for aging.Accelerating the discovery of therapies for aging.
the discovery
of therapies
for aging.Accelerating the discovery of therapies for aging.
We're a team of scientists and engineers working closely together to increase healthy lifespan and dramatically reduce disease.
Mission
An opportunity to dramatically reduce disease.
By targeting the biological processes of aging itself, we aim to uncover new therapies for the diseases of old age — from cardiovascular to neurodegenerative disease — and increase our healthy lifespans.
We're building new tools to realize the potential of aging research, faster.
Our approach
Accelerating research with machine learning.
Several lines of research recently bolstered the belief that by understanding and treating the damage that accumulates in our bodies as we age, we will be able to slow or repair this damage with dramatic benefits for our health and lifespan.
The most studied lines of evidence for this claim are focused on the fields of senescence, caloric restriction, parabiosis, and even the use of existing drugs like Metformin. We can reproducibly use these fields to increase the lifespan of animals while delaying onset of multiple diseases — and this evidence has been built by world-class scientists at UCSF, Stanford, and more of the world's best labs.
While aging research holds enormous promise, it still takes far too long to run experiments. This significantly slows down the search for therapies that could one day reduce cardiovascular disease, neurodegenerative diseases, and more.
We've built a machine learning platform to accelerate experimentation for discovering such therapies, bringing a novel computational approach to one of the most important problems in the world: battling aging and its diseases.Several lines of research recently bolstered the belief that by understanding and treating the damage that accumulates in our bodies as we age, we will be able to slow or repair this damage with dramatic benefits for our health and lifespan.
We've built a machine learning platform to accelerate experimentation for discovering such therapies, bringing a novel computational approach to one of the most important problems in the world: battling aging and its diseases.
The most studied lines of evidence for this claim are focused on the fields of senescence, caloric restriction, parabiosis, and even the use of existing drugs like Metformin. We can reproducibly use these fields to increase the lifespan of animals while delaying onset of multiple diseases — and this evidence has been built by world-class scientists at UCSF, Stanford, and more of the world's best labs.
While aging research holds enormous promise, it still takes far too long to run experiments. This significantly slows down the search for therapies that could one day reduce cardiovascular disease, neurodegenerative diseases, and more.
We've built a machine learning platform to accelerate experimentation for discovering such therapies, bringing a novel computational approach to one of the most important problems in the world: battling aging and its diseases.Several lines of research recently bolstered the belief that by understanding and treating the damage that accumulates in our bodies as we age, we will be able to slow or repair this damage with dramatic benefits for our health and lifespan.
We've built a machine learning platform to accelerate experimentation for discovering such therapies, bringing a novel computational approach to one of the most important problems in the world: battling aging and its diseases.
Investors
Sam Altman
© 2020 Spring Discovery. All rights reserved.
© 2020 Spring Discovery.All rights reserved.