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Sparse whole genome sequencing and machine learning of AML genomes reveals novel, clinically relevant genetics.

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Year: 2025
Type: conference-abstract
Source: Blood
DOI: 10.1182/blood-2025-5263
Authors: Timour Baslan, Pascal Belleau, Astrid Deschênes, Yanming Zhang, Zhuoxin Sun, Francine Garrett-Bakelman, Maria Kleppe, Elisabeth Paietta, Larry Cripe, Hugo Fernandez, Martin Tallman, Jacob Rowe, Hillard Lazarus, Ari Melnick, Mark Litzow, Ross Levine, Nevenka Dimitrova, Selina Luger, Alexander Krasnitz, Scott Lowe
Institutions: University of Pennsylvania, Cold Spring Harbor Laboratory, Memorial Sloan Kettering Cancer Center, Dana-Farber Cancer Institute, University of Virginia, Albert Einstein College of Medicine, Indiana University Indianapolis, Memorial Healthcare System, Shaare Zedek Medical Center, Case Western Reserve University, Weill Cornell Medicine, Mayo Clinic
Language: English

Topic: Acute Myeloid Leukemia Research
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4417013109
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Cited by: 1
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