Healome
AI health coaching, biological age tracking
Loading
Loading section...0-100 chain-logic scale · 15 dimensions · scored on public evidence
AI health coaching, biological age tracking
0-100 chain-logic scale · 15 dimensions · scored on public evidence
Healome presents the belief that organizing personal health data and analyzing it with proprietary AI/ML can reveal abnormal patterns, estimate biological age, identify risk factors, and generate insights that help improve wellbeing and tackle aging. It also states that tracking habits alongside biomarkers can uncover correlations affecting sleep, energy, and organ-specific age acceleration or deceleration, and that anonymized community data can support biomarker discovery research for longevity.
SourceHealome states that people should have one place to store and organize their family’s healthcare information, turning unstructured medical records into usable health insights. The company says it uses proprietary AI and machine learning to anonymize uploaded data, help practitioners and researchers generate insights, visualize biomarker history, detect abnormal patterns, and predict the early onset or recurrence of diseases to improve family wellbeing.
SourceHealome presents the belief that health information should be centralized, structured, and searchable in one place for individuals and families, and that anonymized medical records analyzed with AI/ML can help practitioners, researchers, and users detect abnormal patterns and identify disease onset or recurrence earlier.
SourceHealome presents longevity as something that can be improved through a personalized, science-backed approach combining comprehensive biomarker datasets, aging research, biological age measurement, and ongoing tracking of digital and blood markers. The company states that users can predict overall and organ-specific age, correlate routines with vital signs, and use those insights to build a personal blueprint for aging well and living a fuller, healthier life.
Source