At the core of this revolution is the development of data-driven technologies, in particular artificial intelligence (AI) techniques, to interpret and integrate the vast amount of data generated at individual and population levels to address diverse challenges confronting patients, clinicians, and healthcare systems.
Low-cost gene sequencing, medical imaging, clinical records, and sensor data provide an ever-increasing flow of digital health data. These data are high-dimensional, multi-modal, noisy, and biased, posing significant challenges to the development of AI models that are accurate, reproducible, trustable, and equitable. This program is aimed at developing cutting-edge AI solutions that contribute to addressing these fundamental challenges across diverse applications from disease diagnosis and prognosis and the prediction of therapeutic interventions to the development of clinical decision support systems and automated clinical reporting.
The program brings a multidisciplinary team of experts in AI, computer vision, genomics, proteomics, therapeutics, bioinformatics, information systems, health informatics, and evidence-based medicine at UNSW, UTS, and Macquarie University, with strong support from 6 industry partners to train a cohort of 15 HDR students in developing innovative AI-driven medical technologies aligned with industry priorities.
For more information about this program, visit website https://www.med-tech.ai/.
Contact Liam Ruz (Program Coordinator) at info@med-tech.ai if you require further information or assistance with your application.
Chief Investigators
Dr Fatemeh Vafaee, Professor Marc Wilkins, Dr Hamid Alinejad-Rokny, Professor Shlomo Berkovsky, Professor Ghassan Beydoun, Dr Morteza Saberi