Exploring the Synergy of Machine Learning and Healthcare Advancements

This talk delves into the dynamic relationship between advanced AI algorithms and complex healthcare challenges.

Speaker: Dr Zahraa Abdallah,University of Bristol, UK

In an era marked by the rapid evolution of Artificial Intelligence (AI) and significant strides in complex and large-scale models, this talk explores the dynamic intersection of state-of-the-art algorithms and intricate healthcare challenges. It delves into the substantive role of machine learning techniques in propelling the field forward, with a primary focus on ongoing projects dedicated to the early detection of cancer, Alzheimer's, and Diabetes.

The presentation will highlight success stories while addressing challenges and ethical considerations integral to the seamless integration of machine learning in healthcare. This includes considerations of robustness, explainability, and trustworthiness. Furthermore, it delves into the pivotal role of collaboration between data scientists, healthcare professionals, and policymakers, illuminating their collective impact on shaping the future landscape of healthcare delivery.

Zahraa is a lecturer in Machine Learning at the School of Engineering Mathematics, University of Bristol. Her research interest is in machine learning, specifically time series, adaptive models and multi-modalities. Her research focuses on developing new methods for time series analysis, applying ML techniques to the healthcare domain, and expanding learning to other modalities. She is actively involved in various multidisciplinary projects including healthcare projects such as investigating biomarkers for early-stage detection of Alzheimer's disease, early detection of Cancer, analysing EEG data for Parkinson’s disease, and unhiding clinically unknown patterns in insulin needs for diabetic patients. Before joining Bristol, Zahraa received her PhD from Monash University, Melbourne, Australia. Her thesis was awarded the Mollie Holman award for the best dissertation in the School of Information Technology.

Moderator: Dr Asress Gikay