Most people with lupus can name a flare — but not its origin. Flare monitors HRV, skin temperature, and sleep architecture 24/7, surfacing the physiological precursors that show up 48–72 hours before symptoms escalate.
Continuous HRV monitoring detects autonomic stress patterns
Skin temperature fluctuations signal inflammatory activity up to 4 weeks ahead
AI correlates your specific trigger patterns — not population averages
Weekly Pattern
Heart Rate Variability + Skin Temp
Pattern detected: HRV dropped 28% and skin temp rose 0.9°C across Thursday–Friday — consistent with pre-inflammatory activity, 48–72 hrs before reported flare.
Flare Clinical Summary
Oct 28 – Jan 26, 2026
Patient: M. Chen · Dr. R. Patel, MD
Days Tracked
90
Avg Inflammation Index
Sleep Quality Score
Joint Stiffness Events
Fatigue Hours/Day
90-Day Inflammation Trend
Quarterly appointments capture a single snapshot. Flare generates a 90-day clinical summary — inflammation trends, sleep quality, stiffness events — sent directly to your care team before every visit.
For Rheumatologists
Objective biometric data between visits reduces reliance on patient recall and supports more accurate SLEDAI scoring. Compatible with Epic and major EHR systems.
There's a difference between recording what happened and understanding why. Flare's AI identifies your personal flare signature — the unique combination of sleep, stress, and physiological signals that precede your specific flares.
"I always knew Tuesday was bad, but I never knew Monday was why. Flare showed me the pattern I'd been living inside for three years."
AI Pattern Analysis
Your Top Flare Triggers
Based on 90 days of continuous monitoring
Insight: Missed medication followed by poor sleep predicted a flare event within 72 hours with 89% accuracy across your last 6 recorded flares.
Monitoring continuously · Last sync 4 min ago
Your audit is complete
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