School of Medicine
Showing 601-620 of 1,556 Results
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Donghoon Kim
Postdoctoral Scholar, Radiology
BioDr. Donghoon Kim is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging (CAFN), working in close collaboration with the Stanford Alzheimer’s Disease Research Center (ADRC). His work develops cutting-edge deep learning approaches for multimodal neuroimaging analysis, with an emphasis on the early detection and characterization of Alzheimer’s disease pathology.
Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from the University of California, Davis. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI." During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech–Wake Forest University, he studied the functional connectivity of the default mode network using resting-state BOLD fMRI among youth football players. -
Jiyeong Kim
Postdoctoral Scholar, Dermatology
BioDr. Jiyeong Kim is a post-doctoral scholar at the Stanford Center for Digital Health and the Department of Dermatology School of Medicine. As a multi-disciplined data scientist, Dr. Kim applies artificial intelligence (AI) to clinical informatics, harnessing patient-generated health information and data to enhance patient-centered care, which could be tailored to each patient group for improving patient engagement and better health outcomes. In her work, Dr. Kim leverages large language models, machine learning, and natural language processing to understand patients' and caregivers' genuine voices of care needs and needed support for individuals with chronic diseases, not limited to diabetes, cardiovascular disease, and cancer.
Research Interest
-LLMs and Generative AI to Listen to the Patient
-Generative AI-Assisted Enhanced Patient Care
-ML-based Disease Prediction Modeling
-Patient-Generated Data and Precision Health
