Biotricity Inc. (Biotricity), today announced that it will be carrying out an NIH-sponsored Phase I study of Bioflux-AI, Biotricity’s innovative artificial intelligence-driven (‘AI’) system of real-time monitoring and prediction technology, in subjects with Chronic Kidney Disease (‘CKD’). The risk of ischemic and hemorrhagic stroke is 5 to 30 times higher in patients with CKD and has a mortality rate of up to three times that of the general population. Effective stroke risk prediction is currently flawed in CKD patients because comorbidities often remain undiagnosed and stroke risk stratification schemes do not consider stages of CKD. Additionally, the detection of stroke-risk variations due to dialysis requires real-time risk monitoring, which is unavailable to date.
