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ASH 2022 | The growing role of machine learning in hematological oncology

Adrián Mosquera Orgueira • 9 Dec 2022
ASH 2022
General

Adrian Mosquera Orgueira, MD, PhD, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Santiago de Compostela, Spain, outlines three key areas for machine learning (ML) incorporation within hematological oncology. Firstly, Dr Mosquera Orgueira notes how the development of ML to improve disease prognostication is underway, particularly for instances where genomic information is not readily accessible. Following this, Dr Mosquera Orgueira discusses the potential use of ML in drug response prediction, and finally comments on the applications of ML in the development of new therapeutics. This interview took place at the 64th ASH Annual Meeting and Exposition congress held in New Orleans, LA.

These works are owned by Magdalen Medical Publishing (MMP) and are protected by copyright laws and treaties around the world. All rights are reserved.

Disclosures

Roche, Amgen, AstraZeneca, Janssen, Abbvie, Takeda, Brystol, GSK, Pfizer,: Consultancy, Honoraria, Research Funding.

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