On 30th September, we held a SafetyNet Researcher Training Session on Clinical Risk Prediction Tools, with Dr Muhammad Faisal, Associate Professor at Centre for Digital Innovations in Health & Social Care, Faculty of Health Studies, University of Bradford

Watch the recording:

About the trainer:

Dr Muhammad Faisal is Associate Professor at Centre for Digital Innovations in Health & Social Care, Faculty of Health Studies, University of Bradford. He has been actively involved in applied health research for over 15 years, dedicated to utilising data to address health challenges. Muhammad’s research interest is focused on development and validation of clinical prediction models to support the clinical decision-making process with real-time estimates of the patient’s risk of adverse outcomes using routinely collected ‘Big’ Healthcare data sets and modern machine learning methods such as deep learning. His current research is focused on developing equitable prediction tools to enhance the quality and safety of healthcare. With a track record of serving as the lead data scientist within several multidisciplinary research teams and having authored over 100 peer-reviewed publications, he is passionate about translating research into practical solutions. His enthusiasm lies in applying these equitable prediction tools collaboratively to bring about positive changes in population health. 

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