Organization
Computational Comparative Medicine
5 abstracts
Abstract
Assessing the prognostic value of transcriptomic data in multiple myeloma through machine learning methodologies.Org: Kansas State University–Olathe, 1DATA Consortium, Computational Comparative Medicine,
Abstract
Comprehensive assessment of adverse event profiles associated with bispecific T cell engagers in multiple myeloma.Org: 1DATA Consortium, Kansas State University–Olathe, Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, Winship Cancer Institute of Emory University, Atlanta, GA, Emory University, Atlanta, GA, Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, Department of Medicine, Massachusetts General Hospital, Boston, MA, Department of Medicine, Emory University School of Medicine, Atlanta, GA, Department of Urology, Emory University School of Medicine, Atlanta, GA, Taussig Cancer Institute, Cleveland Clinic Taussig Cancer Instititute,
Abstract
Disparities in multiple myeloma: A global perspective on drug toxicity trends.Org: DATA Consortium, Computational Comparative Medicine, Department of Mathematics, Università degli Studi di Genova, San Martino, Italy, Kansas State University–Olathe, Olathe, KS,
Abstract
Identification of genes encoding targets associated with adverse events in multiple myeloma.Org: Kansas State University–Olathe, Taussig Cancer Center, Cleveland Clinic Taussig Cancer Instititute, University of Missouri Kansas City, Indiana University/Melvin and Bren Simon Cancer Center,
Abstract
A novel risk assessment metric for antimyeloma therapies and drug interactions.Org: Kansas State University–Olathe, DATA Consortium, Computational Comparative Medicine, Department of Mathematics, Università degli Studi di Genova, San Martino, Italy, Myeloma Program,