Mapping the
Biology of Aging
Teal Rise transforms high-dimensional proteomics
into interpretable models of biological aging,
disease risk, and system-level health.
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From raw proteomics to biological understanding.
We translate proteomic data into standardized biological models that can be compared across studies, cohorts, and assay platforms.
The science behind organ aging clocks — published on the cover of Nature.
Teal's analytics framework is informed by foundational research from the Wyss-Coray lab at Stanford, independently validated across four peer-reviewed publications and a global proteomics data challenge.
Organ aging signatures in the plasma proteome track health and disease
Proteomic organ-specific ageing signatures and 20-year risk of age-related diseases
Plasma proteomics links brain and immune system aging with healthspan and longevity
Cell-level aging signatures across 40+ cell types in 60,000 individuals
Built on one of
the world's largest
proteogenomic datasets.
Samples in training data
Aging clock models
Organ systems
UK Biobank validation
Experienced
leadership team.
Tony Wyss-Coray
Co-FounderD.H. Chen Distinguished Professor of Neurology and Neurological Sciences at Stanford. Director of the Knight Initiative for Brain Resilience. 200+ publications. TIME “Health Care 50,” 2020.
Markus Okumus
Co-FounderThree decades of founding and building consumer and health companies across the US and Europe — from first idea to exit.
Wenyu Zhou, Ph.D.
Head of R&DLeads the team building, validating, and deploying Teal's organ and cell aging models across global cohorts.
Endre Sebestyen, Ph.D.
Computational BiologistSpecialist in large-scale proteomic and multi-omic data analysis, building the pipelines behind Teal's aging clocks.
Featured in leading scientific and global press.
How old is your pancreas? What about your brain or heart?
The idea that we might be able to change how we age is what's really exciting about the research
Conversation on organ aging clocks and proteomic biomarkers of healthspan
Inside your body, aging unfolds at remarkably different rates
Stanford Medicine-led study finds way to predict which of our organs will fail first
Your organs might be aging at different rates
Blood test shows if organs are ageing fast or slowly
Blood test to determine organ age could help predict disease risk
The emergence of protein organ clocks
