Artificial Intelligence for Precision Medicine
Artificial Intelligence is profoundly transforming biomedical research. We are a group of researchers with a shared interest in AI and its applications in biology and medicine. We have developed machine learning based methods for disease identification and classification using big data from molecular profiling, medical imaging and electronic medical record. Our mission is to discover the mechanisms of human diseases and improve diagnosis and treatment with innovative algorithms, software and AI-enabled medical devices.
Faculty
Yan Cui
Professor, Department of Genetics, Genomics and Informatics UTHSC
Siamak Yousefi
Assistant Professor, Department of Ophthalmology UTHSC
Chi-Yang Chiu
Associate Professor, Department of Preventive Medicine, UTHSC
Rishikesan Kamaleswaran
Associate Professor, Duke University
Colleen Jonsson
Professor and Director of Institute for the Study of Host-Pathogen Systems UTHSC
Yong Cheng
Associate Member, Department of Hematology and Computational Biology, St. Jude Children's Research Hospital
Abbas Babajani-Feremi
Associate Professor of Neurology and Artificial Intelligence (AI), Inaugural Director of Magnetoencephalography (MEG) Laboratory, University of Florida
Rob Williams
Professor and Chair, Department of Genetics, Genomics and Informatics UTHSC
Hao Chen
Professor, Department of Pharmacology UTHSC
Robert Lowell Davis
Professor and Director, UTHSC-ORNL Center for Biomedical Informatics UTHSC
Neil Hayes
Professor and Director of Cancer Research Center UTHSC
Amber M. Smith
Associate Professor, Department of Pediatrics and the Institute for the Study of Host-Pathogen Systems UTHSC
Oguz Akbilgic
Associate Professor, Wake Forest University School of Medicine