Zhang Xiaoliang

Zhang Xiaoliang

Zhang Xiaoliang, chief physician, doctor of medicine and doctoral supervisor at Cardiff University in the UK, is currently the director of the Department of Nephrology, Zhongda Hospital Affiliated to Southeast University, and the deputy director of the Institute of Nephrology of Southeast University. He has successively presided over four National Natural Science Foundation projects, one Jiangsu Provincial Natural Science Foundation project, one Jiangsu Provincial Key Talent Project, one Jiangsu Provincial Clinical Medical Research Center (BL2014080) project sub-project, three central and provincial university innovation projects, two Southeast University school-level teaching reform projects, and has supervised more than 40 doctoral and master students. The first and corresponding author has published more than 80 professional research articles, including more than 50 SCI articles, and written many textbooks and monographs.

He once served as the national youth committee member of the 8th Chinese Medical Association Nephrology Branch, and currently serves as the chairman of the Kidney Disease Professional Committee of the Jiangsu Association of Integrated Traditional Chinese and Western Medicine, the executive vice chairman of the China Kidney Disease Big Data Application Innovation Alliance, the national standing committee member of the Clinical Nephrology Professional Committee of the China Medical Education Association, the vice president of the Kidney Disease Branch of the Jiangsu Physician Association, the national member of the Kidney Disease Traditional Chinese Medicine Development and Research Professional Committee of the Chinese Traditional Chinese Medicine Association, the Blood Purification Professional Committee of the Chinese Association of Research Hospitals and CKD-MBD. Member of the academic group, member of the Standing Committee of the Nephrology Branch of the Jiangsu Provincial Medical Association, standing member of the Blood Purification Center Branch of the Jiangsu Provincial Hospital Association, deputy director of the Nephrology Branch of the Nanjing Medical Association, review expert of the National Natural Science Foundation of China, and member of 7 academic and scientific and social expert databases.

He has won the second-class Science and Technology Progress Award from the Ministry of Education, the second-class Science and Technology Progress Award from Jiangsu Province, and the third-class Chinese Medical Science and Technology Award. He has the courage to innovate in teaching and has won many school-level education reform projects. He has served as theoretical teaching for undergraduates and postgraduates, pioneered the PBL teaching method and all-English teaching for international students. He has repeatedly won the title of Outstanding Teacher at Southeast University School of Medicine and Zhongda Hospital, Clinical Teaching Award, Outstanding Tutor for Resident Training, Director of Outstanding Residential Training Base, etc. In 2019, he was awarded the title of Director of Jiangsu Province and National Outstanding Residential Accompanying Professional Base.

He has been engaged in clinical and related research work in nephrology for a long time. His main research directions include: research on molecular diagnosis of rare kidney diseases, the mechanism of inflammatory cells in renal fibrosis, basic and clinical research on calciphylaxis in patients with chronic kidney disease, kidney disease and artificial intelligence. In terms of nephrology and artificial intelligence, the department relies on the Department of Nephrology, Zhongda Hospital Affiliated to Southeast University, the Institute of Nephrology of Southeast University, and the Jiangsu Provincial Kidney Disease Clinical Research Center. It has an independent clinical advanced renal pathology diagnosis center, fully automatic pathology sample preparation, digital pathology system, transmission electron microscope and other equipment. Focus on developing high-throughput accurate diagnosis solutions that combine renal pathology diagnosis with artificial intelligence, including: feature extraction of renal pathology images, renal tissue pathology diagnosis and pattern recognition, clinical big data statistical models and IgA nephropathy diagnosis methods based on machine learning, establishment and application research of a pathological diagnosis system for membranous nephropathy based on deep learning, and application research on the integration of artificial intelligence results in clinical diagnosis and treatment.

Translated from the original Chinese source.

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