Academics | The Hong Kong University of Science and Technology

Hebei Medical University Fourth Hospital and the Joint Intelligent Medical Data Experiment Center of the Hong Kong University of Science and Technology (Guangzhou) officially launched a joint research project in September 2024, focusing on predicting the mutation status of the PIK3CA gene based on HE slices and the efficacy of neoadjuvant therapy. The project aims to address common challenges in the field of precision medicine, particularly in the treatment of breast cancer patients, by improving the efficacy of neoadjuvant therapy through efficient and accurate gene mutation prediction.

In this project, both parties collaborate using cutting-edge artificial intelligence and deep learning algorithms, combined with large-scale pathological HE slice data, to develop an intelligent model for accurate prediction of PIK3CA mutation status. By integrating pathological images with genetic mutation analysis, we aim to achieve efficient and non-invasive mutation status prediction, providing more personalized and optimized treatment options for breast cancer patients.

Significant progress has been made in the collaboration, with initial achievements including the establishment of a high-quality pathological image database and early validation of algorithm models. In the future, both parties will further optimize the model, advance its clinical application, and expect technology to demonstrate great potential in predicting the efficacy of neoadjuvant therapy for breast cancer.

This collaboration brings significant benefits to both parties: Hebei Medical University Fourth Hospital further strengthens its research capabilities in medical data analysis and precision medicine through this project, promoting innovation within the institution; while the Hong Kong University of Science and Technology (Guangzhou) applies the latest intelligent algorithm technologies directly to clinical practice through deep cooperation with medical institutions, further advancing the application of medical intelligence. Through this collaboration, both parties not only strengthen the bridge between academia and clinical practice but also provide broad possibilities for innovation in the field of precision medicine in the future.