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Treatment sequencing for anemic myelofibrosis

with Jean-Jacques Kiladjian & Angela Fleischman

Monday, February 26, 2024 | 16:30 CET

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2023-12-04T23:50:16.000Z

The role of AI in the future of MPN bone marrow histopathology

Dec 4, 2023
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Learning objective: After watching this video, learners will be able to cite a new clinical development in myeloproliferative neoplasms.

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The MPN Hub invited Daniel Royston, University of Oxford, UK, to give a presentation and chair a discussion on the role of artificial intelligence in the future of myeloproliferative neoplasm bone marrow histopathology. MPN Hub Steering Committee members Jean-Jacques Kiladjian, Tiziano Barbui, Chloe James, and John Mascarenhas joined the discussion.

Royston begins by describing quantitative image analysis in myeloproliferative neoplasms and its potential in clinical trial scenarios. He then outlines results of a quantitative analysis of fibrosis from the zinpentraxin alfa phase II study (NCT01981850). He concludes by highlighting a need for the clinical evaluation and validation of machine learning tools in histopathology.

The role of AI in the future of MPN bone marrow histopathology

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