Yura

Yura interactive demo

Seven days of your body. Finally explained.

Connect wearable data, load a family scenario, watch Yura detect patterns, then respond with practical next steps.

Join Waitlist

Research basis

The demo is fictional. The signal patterns are grounded in published research.

Yura does not diagnose. These papers explain why wearable trends can still be useful context for prevention, recovery, and clinical conversations.

Scripps DETECT / Nature Medicine

Pre-illness signals

Wearable changes in heart rate, sleep, and activity have been studied for early respiratory illness detection.

Read paper

Nature Biomedical Engineering

Smartwatch pre-symptom windows

Resting heart-rate changes from smartwatches have been used to detect some COVID-19 cases before symptoms.

Read paper

Apple Heart Study / NEJM

Irregular rhythm flags

Large smartwatch studies show irregular pulse notifications can help surface AFib for clinical follow-up.

Read paper

PLOS Digital Health

Alcohol and recovery

Real-world wearable data links alcohol intake with higher sleeping heart rate, lower HRV, and shorter sleep.

Read paper

Observational ECG study / PMC

Smoking-like HR spikes

Smoking can acutely raise heart rate and change autonomic measures such as HRV.

Read paper

Framingham Heart Study / PMC

Resting HR drift

Higher resting heart rate is associated with cardiovascular risk in large population studies.

Read paper

JMIR systematic review / PMC

Sleep apnea signals

Wearable AI research is evaluating sleep apnea detection from oxygen, respiration, heart, and movement signals.

Read paper

Mount Sinai

IBD flare research

Longitudinal wearable metrics have shown promise for identifying inflammation and flare risk before symptoms escalate.

Read paper

Parkinson's review / PMC

Movement and neurological signals

Wearable movement features are being studied for earlier neurological pattern detection.

Read paper

Your body has been telling you something. Now you can hear it.

Works with Apple Health, Fitbit, Oura, WHOOP, Garmin, Google Fit, and iPhone sensors.