Quing Zhu

Over the past two decades, Professor Zhu’s research has focused on developing advanced imaging technologies and translating them into clinical applications for cancer detection, diagnosis, and treatment-response assessment. Working closely with physicians and scientists, her team has made significant contributions across multiple cancer types:

Breast Cancer: Pioneered the integration of ultrasound and near-infrared (NIR) imaging for clinical diagnosis and for predicting and assessing treatment response in advanced breast cancer, advancing this work into an AI-assisted imaging platform.

Ovarian Cancer: Led the development of co-registered ultrasound and photoacoustic imaging techniques for accurate diagnosis, including innovations in AI-assisted imaging platforms.

Colorectal and Rectal Cancer: Advanced co-registered photoacoustic microscopy and ultrasound for colorectal cancer diagnosis and for predicting rectal cancer treatment response. Her team has developed AI-based dual-modality assessment methods aimed at automating non-invasive, accurate evaluation to reduce unnecessary rectal removal.

Endoscopic Imaging: Made original contributions to optical coherence tomography (OCT)–based endoscopic imaging for colorectal and endometrial cancers, including AI- assisted diagnostic approaches.