BiliScreen: Smartphone-Based Scleral Jaundice Monitoring for Liver and Pancreatic Disorders
Jaundice, the yellow discoloration of the skin and sclera due to the buildup of bilirubin in the blood, is a symptom associated with medical conditions involving the liver and pancreas (e.g., alcoholism, pancreatitis, pancreatic cancer). Jaundice is only recognizable to the naked eye in severe stages, but a ubiquitous test using computer vision and machine learning can detect milder forms of jaundice. In this talk, I will present my work on a smartphone app called BiliScreen that captures pictures of the eye and produces an estimate of a person's bilirubin level, even at levels normally undetectable by the human eye. I will also briefly highlight some of the problems that I foresee in mobile health in regards to diagnostics and disease management.
Alex Mariakakis is a graduate student at the University of Washington in the Paul G. Allen School of Computer of Computer Science and Engineering. He works at the intersection of ubiquitous computing and human-computer interaction with a focus on mobile sensing. His main research explores ways that smartphones can be used to perform health screening. He also studies situational impairments, contextual factors that affect the way people interact with their smartphones. He is advised by Professors Shwetak N. Patel and Jacob O. Wobbrock. Alex received his B.S.E. in Electrical and Computer Engineering and his B.S. in Computer Science from Duke University; he graduated with departmental distinction in Electrical and Computer Engineering with research conducted under Professor Romit Roy Choudhury. He is a recipient of the National Science Foundation Graduation Research Fellowship and the Qualcomm Innovation Fellowship. He publishes to a number of top-tier conferences within ubiquitous computing and human computer interaction, including the ACM CHI Conference on Human Factors in Computing Systems (CHI) and The ACM International Joint Conference on Pervasive and Ubiquitous Computing.