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TTSH Theatrette, TTSH Ward Block Level 1

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Even though advances in Big Data and Data Analytics suggest that these methods allow health and diseases to be studied in an innovative manner, using these methods with a lack of deep understanding about the complexity of the diseases can pose grave concerns. Professor Sloot will share examples about how the failure of big data resulted in startling consequences, and present 2 case studies on 1) Diabetes and 2) the HIV-1 pandemic. He will use novel scientific approaches influenced by Complexity Science to frame the intricacies of diseases in a holistic manner. The talk will be followed by a discussion on how the above is applicable in our healthcare context and Health Professions Education.

Professor Sloot is interested in understanding how nature processes information, and studies this using computational modelling and simulation, as well as formal methods. His work is applied to a wide variety of branches in medical science where more recently, he modelled the virology and epidemiology of infectious diseases such as HIV through Complex Networks and Cellular Automata. He is a laureate of the Russian Leading Scientist President Programme, and has published over 400 research papers that have been featured in international media and scientific documentaries.

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TTSH Theatrette, TTSH Ward Block Level 1

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