Our projects span several diseases and modalities, but share the common theme of incorporating machine learning. Much of our work focuses on the analysis of radiology and pathology image using deep learning techniques. We currently have NIH-funded projects in prostate cancer, acute stroke, and mHealth.

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Integrated Reporting

We have developed a reporting platform for improving diagnostic accuracy and efficiency through the integration of clinical data with AI support. The platform is currently in use at UCLA for cancer diagnosis, with over 5,000 cases completed.



Our lab maintains several project resources. For compute, we have an NVIDIA DGX-1 GPU processing server that has high-speed connections to our data server. We also maintain a Leica/Aperio GT450 whole slide scanner for digitizing histology slides.