معرفی
Yao Chen is an Associate Research Scientist in the Department of Genetics at Yale School of Medicine. Her research focuses on leveraging advanced imaging technologies and machine learning to address challenges in dermatology and nuclear medicine, particularly in the context of chronic graft-versus-host disease (cGVHD) and prostate cancer diagnostics. She develops innovative methods for skin lesion segmentation, motion correction in PET imaging, and biomechanical assessment of skin conditions.
Her work integrates hyperspectral imaging, Raman spectroscopy, and deep learning to improve disease characterization and diagnostic accuracy. Key contributions include validating devices like the Myoton for cGVHD assessment and enhancing reproducibility in clinical measurements. Yao Chen collaborates across disciplines to translate biophotonics and imaging innovations into clinical practice, with a focus on improving patient care through data-driven solutions.
Research interests span medical imaging, machine learning applications in healthcare, and translational biophotonics. Her recent studies emphasize AI-driven solutions for motion correction in PET scans and automated segmentation of skin lesions in cGVHD. These efforts aim to reduce human error and enhance diagnostic precision in complex medical scenarios.
Labs/Teams: Yao Chen is part of the Genetics Department’s research group at Yale School of Medicine, collaborating with teams focused on biomedical imaging and clinical research. Her work contributes to interdisciplinary initiatives at the intersection of engineering, AI, and medicine.
