"Big data has become a ubiquitous watchword of biomedical innovation advocating the deployment of advanced data-driven artificial intelligence techniques and systems thinking to revolutionize biomedical research and practice. AI-empowered Biomedicine Laboratory led by Associate Professor Fatemeh Vafaee develops cutting-edge innovative machine-learning and network science methodologies to leverage large-scale molecular and clinical data to find hidden structures within them, account for complex interactions among the measurements, integrate heterogeneous data and make accurate predictions in different biomedical applications. In this talk, A/Prof Vafaee provides some examples of ongoing projects across three main themes in her research program, including 1) minimally-invasive biomarker discovery for personalized medicine, 2) single-cell sequencing data analysis and integration, and 3) computational drug repositioning and network pharmacology. Across all themes, Dr Vafaee’s research heavily relies on multidisciplinary expertise and cross-faculty collaborations to generate translatable outcomes impacting upon biomedicine of the future.

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