FERRIQ: AI-Driven mapping of disease trajectories – Dr Fayyaz Minhas & Prof Dimitris Grammatopoulos

This video is the fifth talk from our Future of Healthcare: Remote Blood Testing, Monitoring & AI Meeting that took place on 07-08/11/2023. 

FERRIQ: AI-Driven mapping of disease trajectories of patients with genetic iron overload to inform development of clinical decision support systems – Dr Fayyaz Minhas & Professor Dimitris Grammatopoulos (University of Warwick). 

Bios: Fayyaz Minhas is an associate professor at Warwick Department of Computer Science. He is also the Deputy Director of the Tissue Image Analytics (TIA) centre and is affiliated with the Pathology image data Lake for Analytics, Knowledge and Education (PathLAKE) consortium. He is a recipient of the Fulbright scholarship and works on solving problems in biology and medicine using machine learning methods as well as the development of bespoke machine learning algorithms in the domains of biomedical informatics, computational pathology, bioinformatics and data science. Specifically, he is interested in designing machine learning models for integrating digital pathology and bioinformatics data for improved diagnosis and therapeutics. 

Dimitris Grammatopoulos, PhD, FRCPath, is Professor of Molecular Medicine at Warwick Medical School and Consultant in Clinical Biochemistry and Molecular Diagnostics at the University Hospitals of Coventry and Warwickshire, NHS Trust, United Kingdom. He also leads the Novel Biomarkers theme of the Institute of Precision Diagnostics and Translational Medicine, Pathology-UHCW NHS Trust, where he combines clinical expertise in diagnostic laboratory medicine with a research track-record in application of cutting edge multidiscipline methodologies in routine clinical diagnostics. He received academic and clinical training in Newcastle, Bristol, Johns Hopkins-Baltimore and Warwick. He has expertise in biochemical/molecular diagnosis of many endocrine and metabolic disorders. His translational research interest is focused on stress hormones and homeostatic adaptations of fetal development to maternal disease as well as development of novel -omics based biomarker approaches suitable for precision medicine and better characterisation of patient phenotype. He has experience around use of AI and ML for development and refinement of clinical and diagnostic pathways for complex chronic conditions that are considered as national priorities. Dimitris is the Lead in Diagnostics, Global Health Priorities in Health, University of Warwick. 

Further details on this event can be found at: https://futurebloodtesting.org/event/the-future-of-healthcare-remote-blood-testing-monitoring-ai/

This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1

YouTube Link: https://www.youtube.com/watch?v=GsAyoVTLYdc&list=PL_5Zbof1GNkCZLgQwZnxsMTQUELUCQHlp&index=4