• UM Centre of Innovation and Enterprise
  • umcie@um.edu.my
  • 03-7967 7351
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A SYSTEM AND METHOD FOR PREDICTING AND MANAGING A SMALL-FOR-GESTATIONAL-AGE FETUS

NeoGuard is revolutionizing maternal healthcare with AI-driven fetal monitoring tools designed for clinicians and expectant mothers. Originating from Dr. Saw Shier Nee’s research at the National University of Singapore and Bioinformatics Institute, NeoGuard’s technology leverages ultrasound measurements to improve pregnancy disease management and diagnosis. NeoGuard’s innovative solution provides hospitals, healthcare providers and mothers with a real-time, accurate, and accessible system for monitoring fetal development. NeoGuard’s competitive edge lies in our proprietary dataset, encompassing birth data from Malaysia, Singapore, and India, ensuring its AI model is finely tuned to these populations. This localized data makes NeoGuard’s technology highly relevant for Malaysia and the surrounding region. NeoGuard’s AI model, using ultrasound data, predicts newborn health indicators such as SGA (Small-for-gestational-age), allowing for early diagnosis and intervention. Scalable across diverse healthcare settings, NeoGuard’s solution meets urban and rural healthcare needs.


DR. SAW SHIER NEE

Department of Artificial Intelligence

Faculty of Computer Science and Information Technology

sawsn@um.edu.my

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FOUNDER

Academic Qualification:
  • PhD, (Kejuruteraan Bioperubatan), National University of Singapore
  • BBMedEng, (Kejuruteraan Bioperubatan), Universiti Malaya (UM)

Last Update: 07/01/2025