Pan-cancer AI-driven Cell-free DNA Sequencing Platform for Reducing Disparities in Early Diagnosis, Molecular Characterization and Surveillance of Multiple Cancer Types

Infants born with a rare genetic disorder or birth defect experience high acuity, prolonged hospital stays and a lifetime of health challenges. Molecular diagnosis is key to caring for these infants, and speed is critical. This multidisciplinary team of researchers will use an approach to screening using artificial intelligence and a revolutionary genome sequencing platform to bring state-of-the-art ultra-rapid genome sequencing to infants in hospitals across Wisconsin. Collaborators: April Hall, PhD, assistant professor, Department of Pediatrics, UW–Madison; Vanessa Horner, PhD, associate professor, Department of Pediatrics, UW–Madison; Kim Keppler-Noreuil, MD, professor, Department of Pediatrics, UW–Madison; Irene Ong, PhD, associate professor; Departments of Obstetrics and Gynecology and Biostatistics and Medical Informatics, UW–Madison; Xiangqiang Shao, PhD, assistant professor, Department of Pediatrics, UW–Madison; Bryn Webb, MD, associate professor, Department of Pediatrics, UW–Madison; Krishna Acharya, MBBS, associate professor, Department of Pediatrics, Medical College of Wisconsin; Ulrich Broeckel, MD, professor, Department of Pediatrics, Medical College of Wisconsin; Jessica Scott-Schwoerer, MD, associate professor, Department of Pediatrics, Medical College of Wisconsin; Mark Yandell, PhD, professor, Department of Human Genetics, University of Utah