C-PFAIAI aging clocks, biological age prediction, multi-omics
0-100 chain-logic scale · 15 dimensions · scored on public evidence
Estimate biological age using practical biometric inputs for clinical settings.
AI biometric aging clock designed for use with clinical measurements.
A 2025 publication describes a biometric aging clock for practical clinical utility; Biometric Age is listed as a commercially available Deep Longevity aging clock.
Predict biological age from blood-based inputs and provide personalized health insights for preventive care and early intervention.
AI aging-clock model using blood biochemistry or routine blood test variables.
Listed as a commercially available Deep Longevity aging clock; related blood biological age models were evaluated in geriatric rehabilitation cohorts and longitudinal adult cohorts.
Blood biological age was associated with physical activity and frailty in geriatric rehabilitation inpatients, and biological-age difference predicted mortality and hospitalization in a longitudinal adult cohort.
Develop a methylation-based biological aging clock using deep learning.
Deep-learning model trained on DNA methylation data.
Published in 2020 as a methylation aging clock developed with deep learning.
Estimate biological age from epigenetic data and relate lifestyle or environmental factors to epigenetic aging.
AI methylation aging-clock analysis using DNA or epigenetic inputs.
Listed as a commercially available Deep Longevity aging clock; related publications include DeepMAge and a 2023 study on stress, diet, exercise, and epigenetic age.
DeepMAge was developed as a deep-learning methylation aging clock; environmental factors including stress, diet, and exercise were studied for their impact on epigenetic age.
Curate structured information on therapeutic interventions in aging and age-related disease.
Structured database of current geroprotective interventions.
A 2015 publication describes Geroprotectors.org as a structured and curated database.
Predict aging-related signals from human gut microbiome taxonomic profiles.
Deep-learning aging clock based on microbiome taxonomic profiling.
Listed among Deep Longevity-related publications as a 2020 human gut microbiome aging-clock project.
Identify and rank potential geroprotective drugs that mimic a young healthy signaling state.
In silico screening and ranking of signalome-level mimetics followed by in vitro validation.
Publications from 2014 and 2016 describe computational screening and in vitro validation of candidate geroprotectors.
Predict psychological or subjective aging and generate personalized mental-health or well-being insights.
AI aging-clock models using psychological survey inputs and self-organizing maps for emotional stability patterns.
Listed as a commercially available Deep Longevity aging clock; related publications describe PsychoAge, SubjAge, psychological aging factors, and AI-based well-being optimization.
Psychological factors were reported to substantially contribute to biological aging; PsychoAge and SubjAge were developed as deep markers of psychological and subjective age.
Develop non-invasive visual biomarkers of aging from photographs.
Deep-learning algorithms applied to visual age-related features, in collaboration with Haut.AI.
A 2018 publication describes PhotoAgeClock as a non-invasive visual biomarker aging-clock project.
Measure psychological and subjective age using AI-derived markers.
Deep-learning models using psychological and subjective survey-derived features.
Published in 2020 as deep markers of psychological and subjective age.
The project produced PsychoAge and SubjAge as AI-derived markers of psychological and subjective age.
Provide SaaS-based biological age prediction and health summary reports from multiple input types.
SaaS platform applying aging-clock models to blood, DNA, microbiome, and psychological survey inputs.
Listed as a Deep Longevity SaaS platform for biological age predictions and health summary reports.
Provide an enhanced SaaS platform for biological age prediction and health summary reporting.
SaaS platform using multi-modal inputs including blood, DNA, microbiome, and psychological surveys.
Listed as a Deep Longevity SaaS platform alongside SenoClock.