Breakthrough platform gives warning of painful sickle cell attacks
Wearable data and patient reports combine to alert care teams before painful attacks escalate into emergencies.
A London-based health tech firm has developed an AI platform that can predict painful sickle cell crises before they occur. Sanius Health says its system forecasts vaso-occlusive crises with up to 92% sensitivity, offering patients and clinicians valuable lead time.
The technology combines biometric data from wearables with patient-reported outcomes and clinical records to generate daily risk scores. Patients and care teams receive alerts when thresholds are met, enabling early action to prevent hospitalisation.
In real-world studies involving nearly 400 patients, the AI system identified measurable changes in activity and sleep days before emergencies. Patients using the platform reported fewer admissions, shorter stays, and improved quality of life.
The World Health Organisation says sickle cell disease affects almost eight million people worldwide. Sanius Health is scaling its registry-driven model globally to ensure predictive care reaches patients from London to Lagos and beyond.
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