Search Results - yan+liu

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Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning

Background Ovarian cancer causes approximately 14,000 deaths annually in the U.S., with many patients receiving standard chemotherapy regimens that prove ineffective. Deep learning offers promise in predicting treatment response by uncovering patient-specific disease factors. However, challenges such as limited model transparency and reliance on large...

Published: 4/23/2026 Inventor(s): Yan Liu, Joseph Carlson, Emily Nguyen
Category(s): Life Sciences

2017-057 - Interpretable Deep Learning Framework for Predictive Modeling

Predictive modeling Data mining Personalized Healthcare Abstract USC researchers have developed a novel knowledge-distillation approach called Interpretable Mimic Learning, to learn interpretable features for making robust prediction while mimicking the performance of deep learning models. This approach provides interpretable models that help primary...