2021-09: AI and Data-Driven Modelling for Precision Medicine and Healthcare
Date: 23/09/2021, 10-11 am
Title:
AI and Data-Driven Modelling for Precision Medicine and Healthcare
Abstract:
Sleep and nutrition are essential and repeating processes which are vital for our quality of life and wellbeing. These processes involve complex dynamics and regulation at multi-scale that reflect developmental changes in mental and physical health, along with the day-to-day state fluctuations. In this talk, I will share our current research in modelling diabetes and insomnia, which involve complex time series, modelling of feedback mechanisms and interactions between networks at different scales.
Insomnia is a serious sleep disorder that remains under-diagnosed. We propose new automated method for classification of nocturnal awakenings in insomnia and normal sleep which provide robust signatures of acute/chronic insomnia and healthy sleep. The method is very promising as a pre-screening tool to detect insomnia in a home environment.
Glucose-insulin dynamics is central for understanding the regulation mechanisms between different organs in the human body and is key to maintain healthy life and prevent diabetes. We combine dynamical systems approach with machine learning algorithms to model the regulation between glucose and insulin and predict glucose dynamics and insulin utilisation in healthy and pre-diabetic regimes. This talk will summarise the outcomes of my academic study program (ASP) from March to July 2021.
Speaker:
Maia Angelova is a Professor of Data Analytics and Machine Learning and Director of Data Analytics Research Lab at the School of IT at Deakin University. She was a Professor of Mathematical Physics at Northumbria University, UK, from 2004 to 2016, and a Lecturer in Physics in Somerville College, Oxford University from 1991 to 1996. Maia’s research is in data-driven modelling of complex systems, time series and spectral analysis, dynamical systems, data analytics and machine learning for physical, biological and physiological systems. She also develops symmetry methods for properties of materials and quantum information. Maia’s research is at the boundary between theory and applications, and she is very interested in translational research into the areas of health, medicine and healthcare.
Maia is an Associate Editor of the journals of Complexity, Frontiers of Physiology: Network Physiology, and a member of the Editorial Boards of Frontiers of Endocrinology, Frontiers of Physics, Bioinformatics and Biology Insights. She is a Fellow of The Institute of Physics, member of the Council of Complex Systems Society (CSS), member of Society of Mathematical Biology, The Australian Mathematical Society and The London Mathematical Society. Her research is funded by the Australian Defence, The Academy of Medical Sciences, EPSRC, MRC, European FP6 and FP7 Programs, The Royal Society, The London Mathematical Society, The Australian Mathematical Society and AMSI.