Emmanuel Ugwu
Nigeria
Cipher is a smartphone-based tool that uses artificial intelligence and machine learning to improve non-invasive clinical detection and diagnosis of severe malaria through the eye. The device perfoms diagnosis by taking a picture of the eye to identify the retinopathies of malaria in the retina of the patient. This improves the efficiency, speed and accuracy of diagnosis thereby reducing human-errors. Cipher is a suite of both hardware and software systems that is currently deployed for object recognition, classification, and localization to improve non-invasive medical/clinical imaging of malaria and diabetic retinopathies. Over 2000 lives have been improved and the innovation is in use in 3 university teaching hospitals with 3 signed MOUs and 5 in the pipeline. Currently in use in Nigeria and finalizing plans to enter East Africa starting with Kenya