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An Accurate Machine Learning Framework for Childhood Acute Myeloid Leukemia Subtype Identification by Integrating Bulk and Single-Cell Multi-Omics Data Within and Beyond the CCDI Ecosystem
Sweasy, Joann·UNIVERSITY OF NEBRASKA MEDICAL CENTER·OMAHA, NE
Development of MM010, a PEG-specific intervention that blocks allergic response and restores effective repeat dosing of peg-asparaginase in patients with acute lymphoblastic leukemia
Pediatric acute lymphoblastic leukemia: Improving outcomes through incorporation of novel targeted therapies into treatment for relapsed and newly diagnosed disease
O'Brien, Maureen·UNIVERSITY OF COLORADO DENVER·Aurora, CO
Optimizing outcomes for children and young adults with relapse of B-cell acute lymphoblastic leukemia after CD19-targeted chimeric antigen receptor T-cell therapy
Myers, Regina·CHILDREN'S HOSP OF PHILADELPHIA·PHILADELPHIA, PA