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AI in HemOnc and Leukemia

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2:45
Prognostic signature for FLT3-like wild type AML
Adrián Mosquera Orgueira • 10 Dec 2023
3:13
Using machine learning to identify trajectories of hematotoxicity following CAR T-cell therapy
Emily Liang • 9 Dec 2023
2:48
Epigenetic profiling and machine learning for risk stratification in pediatric ALL
Adrián Mosquera Orgueira • 10 Dec 2023
2:08
Improving care in adult patients with leukemia at high-risk of CV adverse events
Ahsan Ayaz • 9 Dec 2023
1:47
Individualized machine learning predictions of alloSCT outcomes in AML: the HARMONY platform
Alberto Sánchez • 9 Dec 2023
3:20
Explainable machine learning to identify CLL-driven changes on the gut microbiome
Carsten Niemann • 6 Oct 2023
3:27
The implementation of a data-driven CLL-TIM algorithm into an EPIC-based electronic health record
Carsten Niemann • 6 Oct 2023
2:25
Monitoring infection risk in patients with CLL & insights into the PreVent-ACaLL trial
Carsten Niemann • 6 Oct 2023
3:22
Performance of the AIPSS-MDS ML model in predicting OS & leukemic transformation in CMML
Adrián Mosquera Orgueira • 10 Jun 2023
1:37
Advantages & uses of machine learning in the prognostication of AML
Shaun Fleming • 11 Jun 2023
3:41
The CLL Treatment Infection Model: identifying patients with CLL at high risk of infections
Carsten Niemann • 8 Jun 2023
3:25
Identifying & monitoring patients with high-risk clonal hematopoiesis
Klaus Metzeler • 5 May 2023
8:05
Using AI to segment and classify bone marrow cells in patients with AML
Philippe Leleux • 23 Mar 2023
1:28
Key topics at ISH 2022
Josep-Maria Ribera • 8 Oct 2022
0:36
The use of AI for analyzing genetic and molecular data in CLL
Andreas Agathangelidis • 6 Oct 2022
4:34
Highlights of ICML 2021
Franco Cavalli • 24 Jun 2021
The content of VJHemOnc is intended for healthcare professionals