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SUMMARY:Streamlining the diagnosis of lymphoma using automated diagnostic triaging
UID:1155
DESCRIPTION:To book for or join this event please use this link: https://mms.org.uk/events/1155/streamlining_the_diagnosis_of_lymphoma_using_automated_diagnostic_triaging/webinar?dr=1198\n\nYou will be able to submit questions to the speaker during the event using the Q&A function on Zoom. \n\n1.00 - 2.00 pm\n\nDr Martin Fergie, Lecturer in Healthcare Sciences, The University of Manchester and Chief Technology Officer, Spotlight Pathology LtdLearning objectives:\n•    High-level overview of diagnostic pathway for lymphoma. \n•    Potential of artificial intelligence to provide an automated triaging of samples to streamline\n      diagnosis. \n•    Performance results of a prototype artificial intelligence algorithm.\n\nMartin Fergie is a machine learning and computer vision researcher at the University of Manchester in the Division of Informatics, Imaging and Data Sciences. His research interests are focussed on using machine learning models to predict disease outcomes from medical imaging data. Key projects include: predicting breast cancer risk from screening mammograms; predicting clinical outcomes for cancer using multiplex immunofluorescence tissue imaging.\n\nMartin is currently taking part in the InnovateUK ICURe programme to identify opportunities to help relieve the workload burden on pathologists by applying artificial intelligence in clinical digital pathology. \n\nCPD Certificates will be awarded to attendees
DTSTART:20250226T130000Z
DTEND:20250226T140000Z
LOCATION:ZOOM
LOCATION:https://mms.org.uk/events/1155/streamlining_the_diagnosis_of_lymphoma_using_automated_diagnostic_triaging?dr=1198
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