Archive | BioInfoMed’2022 ⬛ Prof. Maia Angelova: “AI and Data-Driven Models for Precision 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 fluctuations. In this talk, I will share our current research in modelling insomnia and diabetes based on physical and physiological data, feedback mechanisms and interactions between networks at different scales.

Insomnia is a serious sleep disorder that remains under-diagnosed. We propose new machine learning models for classification of nocturnal awakenings in insomnia and healthy sleep from physical movements data. The models can distinguish acute from chronic insomnia and healthy sleep. They provide a robust basis for pre-screening of insomnia with wearable devices 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.

Curriculum Vitae

Maia Angelova is a Professor of Data Analytics and Machine Learning at Deakin University. Currently, she is the Director of the Data Analytics Research Lab at the School of IT. Maia joined Deakin in January 2017. Prior to this, she was a Professor of Mathematical Physics and Leader of the Mathematical Modelling Research Lab at Northumbria University at Newcastle upon Tyne since 2004 and before that a Lecturer in Physics in Somerville College at the University of Oxford from 1991 to 1996. Maia’s research expertise and interests are in data-driven modelling of complex systems with specific interests in modelling sleep and insomnia, diabetes, dementia, depression, ageing and decision making. She has strong expertise in time series, spectral analysis, dynamical systems and symmetry. Maia’s research is at the boundary between theory and applications. She is increasingly interested in translational research into the areas of health, medicine and healthcare. She has been 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. She was the Coordinator and Principal Investigator of European Framework Program 7 Marie Curie project MATSIQEL, “Models of ageing and technological solutions for improving and enhancing the quality of life” with 86 participants from 6 countries and 4 continents. Maia is a Fellow of The Institute of Physics, member of the Council of Complex Systems Society, member of Society of Mathematical Biology, The London Mathematical Society and The Australian Mathematical Society. She is an Associate Editor of the journals of Complexity, Frontiers of Physiology: Network Physiology, member of the Editorial Boards of Frontiers of Endocrinology, Frontiers of Physics, Bioinformatics and Biology Insights. She is a member of Program Committes and Technical Committees of several international conferences in mathematical physics, data science and complex systems.