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School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230026, China, Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, Jiangsu, 215123, China, State Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui, 230026, China, Jiangsu Provincial Key Laboratory of Multimodal Digital Twin Technology, USTC, Suzhou Jiangsu, 215123, China
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Unlock the power of small LLMs for ICD coding: Code-Centric Learning lets them rival the performance of much larger proprietary models.
Generate pathology reports with unprecedented control: QCAgent lets you specify diagnostic details and constraints, grounding statements in localized visual evidence from whole-slide images.
PMM-Synth lets you synthesize missing MRI modalities across diverse clinical datasets, even when they have different modality coverage and disease types, opening the door to more robust and generalizable medical imaging AI.
