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香港科技大学(广州)- 安必平
医疗数据智能联合实验中心
HKUST(GZ)-LBP
Medical Data Intelligence Joint-Lab
mdi.hkust-gz.edu.cn
Contact us: cao@ust.hk
In the pursuit of advancing human health, the Medical Data Intelligence Laboratory steadfastly occupies the vanguard of scientific research, propelled by innovation and solidified through collaboration. We are acutely aware that each step towards the informatization and intelligentization of medical services is inseparable from close interdisciplinary and cross-sectoral cooperation. Therefore, we are proud to announce that we have embarked on a series of scientific research projects aimed at enhancing medical quality and improving human health through data-driven initiatives, in partnership with numerous prestigious medical institutions.
Our collaborative projects
The project with LBP
We have established a cooperative relationship with LBP Group to develop an intelligent labeling tool for pathological images for problems.
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The project with Peking Union Medical College
We cooperated with Peking Union Medical College and Shenzhen Maternal and Child Health Hospital to develop an efficient and accurate artificial intelligence diagnosis system for cervical cancer omics pathological images.
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The project with Peking Union Medical College
In cooperation with Peking Union Medical College and Shenzhen Maternal and Child Health Hospital, the intelligent interpretation system is designed to improve the understanding of colposcopy reports.
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The project with Wuhan Tongji Hospital
The collaboration focuses on exploring the recurrence patterns of liver cancer based on liver WSI slices.
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The project with The First Affiliated Hospital of Sun Yat-sen University (Nansha)
This project aims to develop a multimodal AI model for predicting the efficacy of various drug therapies in treating GER symptoms.
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The project with Hebei Medical University Fourth Hospital
The project is predicting the mutation status of the PIK3CA gene based on HE slices and the efficacy of neoadjuvant therapy.
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The project with Hebei Medical University Fourth Hospital
a multi-modal deep learning model based on HE images and HER2 immunohistochemistry images for predicting the prognosis of metastatic breast cancer.
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The project with Hebei Medical University Fourth Hospital
We jointly dedicated to researching the application of artificial intelligence in the field of breast cancer.
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