An AI platform uses predictive analytics to forecast crises with up to 92% sensitivity, which gives patients more time to treat themselves or contact their healthcare provider.
An artificial intelligence platform developed by London-based digital health company Sanius Health has been developed to anticipate painful vaso-occlusive crises – a significant breakthrough for rare haematology care and managing sickle cell disease.
The platform uses predictive analytics to forecast crises with up to 92% sensitivity, giving patients actionable lead time and enabling clinicians to intervene earlier.
“Imagine knowing a crisis is coming before it strikes,” said Orlando Agrippa, founder and chief executive of Sanius Health.
“This is about moving from reactive care to proactive care. Instead of waiting for pain to send someone to the emergency room, we can anticipate problems and step in early. For families and healthcare systems alike, the benefits are enormous,” he added.
Clear advice
Sanius Health’s technology is designed to integrate into patient lives and clinical workflows. Data captured from smartwatches (such as activity, sleep and heart rate), alongside mood, fatigue, and hydration reports, feeds into machine-learning models that identify changes in physiology and lifestyle.
When risks rise, the system provides them with clear advice on whether to rest or hydrate, or contact their healthcare provider.
“Patients told us they could feel more confident and less anxious knowing they had a system watching out for them,” Agrippa explained. “That feedback is as important as the data itself because at the end of the day, this is about people, not just predictions.”
Sanius Health has presented results from its predictive models at a number of global scientific haematology conferences.
In one study involving 399 patients and 1.2 million data points, the AI achieved 92% sensitivity in predicting crises. Patients using the system reported fewer emergency admissions, shorter hospital stays, and improvements in quality of life.
