Predict crisis risk before symptoms take over.
SickleSense combines smartwatch vitals, predictive AI, and clinician-ready alerts to help patients and care teams monitor sickle cell health in real time.
24/7
monitoring
4 min
risk horizon
AI
personalized
AI risk
18%
Heart
78bpm
Oxygen
98%
Pain alert
Low
Crisis
Clear
SpO2
98.0%
oxygen steady
Risk model
Low drift
4 min forecast
Predictive AI
The model watches for physiological drift.
SickleSense interprets wearable signals as a living risk profile, comparing live data against patient baselines and surfacing early warning patterns.
Live analysis
Smartwatch data stream
Early crisis detection
Detect rising risk patterns before severe pain escalation.
Personalized alerts
Tune guidance to each patient baseline and clinical context.
Predictive analytics
Forecast short-term risk from multiple health signals.
How it works
From wrist signal to care action in three steps.
A simple flow turns wearable health data into practical recommendations for patients and care teams.
Platform features
Built for patients, clinicians, and continuous care.
Every feature is designed to make risk easier to see, explain, and act on without overwhelming the patient.
Join the platform
Turn wearable data into earlier sickle cell intervention.
Start monitoring with a patient-first AI experience built for clarity, speed, and care team collaboration.