- Title
- Novel Data Analytics Identify Predictors of Quality-of-Life Trajectories in Patients with AML or High-Risk Myeloid Neoplasms
- Creators
- Jordan Gauthier - Fred Hutch Cancer CenterBianca Furtuna - Nanostring TechnologiesJacopo Mangiavacchi - Nanostring TechnologiesShahrzad Gholami - Nanostring TechnologiesJuan Lavista FerresRahul Dodhia - Nanostring TechnologiesAmir T. Fathi - Massachusetts General HospitalAndrew M. Brunner - Dana–Farber Cancer InstituteAaron T. Gerds - Cleveland ClinicMikkael A. Sekeres - Sylvester Comprehensive Cancer CenterBruno C. Medeiros - Stanford UniversityEunice S. Wang - Roswell Park Cancer InstitutePaul J Shami - Huntsman Cancer InstituteKehinde Adekola - Western Caspian UniversitySelina M. Luger - University of PennsylvaniaMaria R. Baer - University of Maryland Marlene and Stewart Greenebaum Cancer CenterDavid A Rizzieri - Duke UniversityTanya Wildes - Nebraska Medical CenterJamie L. Koprivnikar - 17Georgetown University Hospital, Hackensack, NJJulie Smith - Wenatchee Valley CollegeMitchell A. Garrison - Wenatchee Valley Hospital & ClinicsKiarash Kojouri - Skagit Valley HospitalFrederick R. Appelbaum - University of Washington Medical CenterMary-Elizabeth M. Percival - University of WashingtonStephanie J. Lee - University of Washington Medical CenterMohamed L. Sorror - Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa
- Publication Details
- Blood, Vol.140(Supplement 1), pp.5254-5257
- Academic Unit
- Miller School of Medicine; UMMG Dept of Medicine - Hematology/Oncology
- Language
- English
- Resource Type
- Journal article
- Record Identifier
- 991031760181402976
Journal article
Novel Data Analytics Identify Predictors of Quality-of-Life Trajectories in Patients with AML or High-Risk Myeloid Neoplasms
Blood, Vol.140(Supplement 1), pp.5254-5257
2022-11-15
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InCites Highlights
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.79 Molecular & Cell Biology - Physiology
- 1.79.874 K-ATPase
- Web Of Science research areas
- Hematology
- ESI research areas
- Clinical Medicine
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Source: InCites