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A healthcare-focused ML research group asking how models can remain trustworthy in clinical use. It develops deep learning, vision-language, and causal-inference methods for diagnostic imaging, applied to breast cancer, chronic obstructive pulmonary disease, and Alzheimer's disease, and trains PhD, master's, and undergraduate researchers.
Last verified: August 22, 2026
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