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Analyzing clinical RNAseq data with machine learning models greatly improves the genetic diagnosis in pediatric acute lymphoblastic leukemia, , , , , , , , , and 2 other author(s). (2022)Comprehensive molecular and clinical characterization of DUX4-rearranged B-acute lymphoblastic leukemia, , , , , , , , , and . Klinische Pädiatrie, 235 (03): 201-202 (2023)A machine learning based clinical platform for cancer subtyping and data integration in hematological malignancies, , , , , , , , , and 4 other author(s). Annals of Oncology, (2023)An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia, , , , , , , , , and 14 other author(s). eBioMedicine, (June 2024)Genetics in inborn errors of immunity: pediatric auto inflammatory phenotypes and the underlying genetic causes in 125 families, , , , , , , , , and 6 other author(s). (2022)Systematic genetic analysis of pediatric patients with autoinflammatory diseases, , , , , , , , , and 6 other author(s). Frontiers in Genetics, (January 2023)Graph4Med: a web application and a graph database for visualizing and analyzing medical databases, , , , and . BMC bioinformatics, (2022)The Clinical Utility of Optical Genome Mapping for the Assessment of Genomic Aberrations in Acute Lymphoblastic Leukemia, , , , , , , , , and 2 other author(s). (2021)