Proteomic cell aging clocks
exploratorybiomarker · high · Mon Jun 15 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Model cellular aging from plasma proteomic signatures across many cell types and use cell-specific aging signatures to predict human disease.
Cell-level aging framework using plasma proteomics, covering more than 40 cell types across more than 60,000 individuals according to the supplied Teal Rise news excerpt.
On June 15, 2026, Teal Rise reported that co-founder Tony Wyss-Coray co-authored a Nature Medicine paper introducing a cell-level aging framework.
The supplied news excerpt says cell-specific signatures predict Alzheimer-related and other disease outcomes, but the excerpt is truncated and does not provide full result details.
Proteomic brain and immune system aging models
exploratorybiomarker · medium · Wed Jan 01 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
Link brain and immune system aging signatures in plasma proteomics to healthspan and longevity.
Plasma proteomic modeling of organ/system-specific aging signatures, focused on brain and immune system aging.
Teal Rise lists a 2025 paper titled "Plasma proteomics links brain and immune system aging with healthspan and longevity."
Supplied evidence states plasma proteomics links brain and immune system aging with healthspan and longevity; no quantitative results are supplied.
Proteomic organ aging clocks
exploratorybiomarker · high · Wed Jan 01 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
Measure organ-specific biological aging from plasma proteomic signatures and relate organ aging patterns to health, disease, longevity, and long-term age-related disease risk.
Plasma proteomics-based organ aging models derived from organ-specific protein signatures and applied across cohorts such as UK Biobank and Whitehall II as described in supplied company context.
Teal Rise lists 2023 and 2025 papers on organ aging signatures, including 20-year risk of age-related diseases.
Supplied evidence says organ aging signatures in the plasma proteome track health and disease and that organ-specific aging signatures are associated with 20-year risk of age-related diseases.
Teal Rise proteomic aging analytics platform
exploratoryplatform · high
Transform high-dimensional proteomic data into standardized, interpretable biological models for biological aging, resilience, organ and cell system health, and disease risk across cohorts, assay platforms, and longitudinal interventions.
Computational proteomics analytics framework using plasma proteome data to build and validate biological aging, organ-aging, cell-aging, and disease-risk models across cohorts and studies.
Company site describes deployed analytics for cohort studies, biopharma development, and longitudinal interventions, informed by Wyss-Coray lab research and validated across peer-reviewed publications and a proteomics data challenge.
Models are described as quantifying biological aging, resilience, and disease risk across organs and cell types; no commercial performance metrics are supplied.
