AI in HemOnc Archives | VJHemOnc

AI has the potential to dramatically affect nearly all aspects of oncology—from enhancing diagnosis to personalizing treatment and discovering novel anticancer drugs. AI has been employed in the analysis of hematopathological, radiographic, laboratory, genomic, pharmacological, and chemical data to better inform diagnosis, prognosis, treatment planning, and foundational knowledge related to benign and malignant hematology. Keep up-to-date with all things AI in HemOnc on this channel.

Myeloma

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Using a novel machine learning model to analyze and predict the outcomes of patients with NDMM

Francesco Maura • 12 Dec 2022

Novel AI model for personalized risk stratification & treatment in newly diagnosed multiple myeloma

Ola Landgren • 12 Dec 2022

Machine learning-based predictive model to identify individuals at risk to develop multiple myeloma

Moshe Mittelman • 12 Dec 2022

Utilizing AI for individualized treatment-adjusted risk stratification in newly diagnosed myeloma

Gareth Morgan • 11 Dec 2022

Lymphoma

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Impact of specific comorbidities on the outcome of patients with DLBCL treated with CAR-T therapy

Geoffrey Shouse • 12 Dec 2022

Using AI to predict the outcomes of patients with R/R DLBCL treated with tisagenlecleucel

Margot Jak • 11 Dec 2022

Leukemia

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Identifying & monitoring patients with high-risk clonal hematopoiesis

Klaus Metzeler • 5 May 2023

Using AI to segment and classify bone marrow cells in patients with AML

Philippe Leleux • 23 Mar 2023

MDS

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Challenges in distinguishing between pre-MDS states and MDS, and approaches to improve diagnosis

Klaus Metzeler • 5 May 2023

Pre-MDS states: identifying patients at risk and using modern tools to improve prognosis

Moshe Mittelman • 5 May 2023

CLL

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The use of AI for analyzing genetic and molecular data in CLL

Andreas Agathangelidis • 6 Oct 2022

Highlights of ICML 2021

Franco Cavalli • 24 Jun 2021

MPNs

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Challenges in selecting patients with MF for SCT & using AI to determine the optimal timing for SCT

Monia Marchetti • 26 Apr 2023

Enhancing myelofibrosis prognostication with machine learning

Adrian Mosquera Orgueira • 9 Dec 2022

Amyloidosis

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Using AI to predict light chain amyloidosis in patients with MGUS and SMM

Eli Muchtar • 6 Sep 2022

How novel technologies and machine learning are impacting drug research in amyloidosis

Joost Schymkovitz • 5 Sep 2022