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2026
Guide Topics
View all guides → Scores Holistic measures of health, with explainable factors Biomarkers Standardized, filled, real-time health data Archetypes Lifestyle, behavioral patterns, habits, persona Trend Insights Directional changes, and longitudinal patterns Comparison Insights Baseline deviations, global population, and peer demographic benchmarks Engagement Drive retention, nudge users, integrate health data into lifecycle flows
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Latest Posts
View all posts →FDA Cleared vs FDA Approved: What a Smart Ring's New Blood Pressure Clearance Actually Covers
Regulation Wearables
Medicare's 2027 Remote Patient Monitoring (RPM) Proposal: Employed Staff Only, an Initiating Visit and Lower Payments
Regulation Remote Monitoring
How Accurate Are Smartwatch Calories? Typical Errors of 15 to 25%, and Worse for People With More Body Fat
Accuracy Wearables
Latest Research
View all research → Validation
Estimating Sleep From a Smartphone Alone: A Validation Against Wearables on 105,826 Nights
Sugam Budhraja
Using only what a phone already records, with no location, microphone or wearable, a passive estimator placed sleep onset and wake within an hour of a consumer wearable on two nights in three, and a week's average sleep timing within 15 minutes. This paper shows which design choices produce that.