SkinIQ is developing a mobile software platform and algorithm for the long-term surveillance and diagnosis of potentially cancerous skin lesions. At the moment, even the best methods of diagnosis still lack the sensitivity and specificity needed to accurately classify and distinguish one type of skin lesion from another. Furthermore, there has yet to be a widely accepted tool that connects patients across the world to their own general practitioners and dermatologists in a cost effective and innovative way. SkinIQ solves this problem using a proprietary deep-learning algorithm trained on thousands of images that tracks and tags dangerous skin lesions for doctors and patients. Additionally, SkinIQ uses non-invasive molecular profiling to sequence moles that have been tagged as concerning. SkinIQ hopes to provide a highly accurate diagnostic tool and platform that will decrease discrepancies in the diagnosis of melanoma and pervasive skin diseases.
Acopio (UC Berkeley)
Information latency profoundly limits agricultural cooperatives’ ability to conduct business and access financing – an avoidable problem with serious consequences for rural farmers in the
August 2, 2012
