Applied machine learning and artificial intelligence for healthcare and biomedical data – 2 CME Points


by Professor Graham Ball

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This Masterclass provides insights into the practical use of Artificial Intelligence and Machine Learning methods for health data empowering the attendee to maximise the potential of this emerging area.

Professor Graham Ball

Professor of Bioinformatics at Nottingham Trent University. He is AI regional lead for the UK DEMON dementia network, a visiting professor at Nottingham University Hospitals Trust, IITB Mumbai, University of Auvergne, Panjab University. He also has a consultative role with a number of diagnostics and government organisations both in the UK and globally. Prof Ball specialises in the application of innovative artificial intelligence and machine learning methods to the analysis of complex data in the biological, environmental and biomedical domains. He currently holds 3 granted patents and 4 pending patents in this area.

For over 30 years, Prof Ball has been a lead figure in the development and validation of bioinformatics algorithms, using Artificial Neural Networks and Machine learning, in health, environmental and biomedical data. He has focussed on applying these approaches to public data repositories leveraging actionable and translational features from the data. He has 190+ journal papers and 7 patents in this area. After a PhD (UN funded) and a Post Doc modelling environmental interactions with Artificial Intelligence and Machine Learning at Nottingham Trent University, in 2000 he shifted the focus of his analysis to biomedical data searching for patterns associated with disease.

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