Research Fellow

DU, Hao

Dr. Du Hao currently serves as a research fellow at NUS Saw Swee Hock School of Public Health. His research interests primarily revolve around model development and clinical validation for machine learning and deep learning in medical data. Additionally, Dr. Du Hao is an entrepreneur who specializes in MedTech startups, with a focus on applying artificial intelligence models in medical devices and clinical applications.

Affiliation

  • NUS Saw Swee Hock School of Public Health

Research Areas

  • Design, conduct and analysis of clinical validation and trials
  • Deep learning
  • Medical imaging
  • Time-series analysis

Academic/Professional Qualifications

  • Bachelor, Nanyang Technological University, Singapore.
  • Ph.D, National University of Singapore, Singapore.

Selected Publications

  • Tyler, Patrick D.*, Hao Du*, Mengling Feng, Ran Bai, Zenglin Xu, Gary L. Horowitz, David J. Stone, and Leo Anthony Celi. “Assessment of intensive care unit laboratory values that differ from reference ranges and association with patient mortality and length of stay.” JAMA network open 1, no. 7 (2018): e184521-e184521.
  • Schaffter, T., Buist, D.S., Lee, C.I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S. and Feng, J., 2020. Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms. JAMA network open, 3(3), pp.e200265-e200265.
  • Du, Hao, Melissa Min-Szu Yao, Siqi Liu, Liangyu Chen, Wing P. Chan, and Mengling Feng. “Automatic Calcification Morphology and Distribution Classification for Breast Mammograms with Multi-task Graph Convolutional Neural Network.” IEEE Journal of Biomedical and Health Informatics (2023).
  • Du, Hao, Kewin Tien Ho Siah, Valencia Zhang Ru-Yan, Readon Teh, Christopher Yu En Tan, Wesley Yeung, Christina Scaduto et al. “Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach.” BMJ Open Gastroenterology 8, no. 1 (2021): e000761.

Media Coverage

  • Enhancing breast cancer screening with AI, The Edge Singapore, 25 March 2024
  • Enterprising graduates pave the way for a brighter future, NUSnews, 12 July 2023
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