Skip to main navigation Skip to search Skip to main content

Prediction of Hematopoietic Stem Cell Transplantation Related Mortality- Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study

  • Roni Shouval
  • , Myriam Labopin
  • , Ron Unger
  • , Sebastian Giebel
  • , Fabio Ciceri
  • , Christoph Schmid
  • , Jordi Esteve
  • , Frederic Baron
  • , Norbert Claude Gorin
  • , Bipin Savani
  • , Avichai Shimoni
  • , Mohamad Mohty
  • , Arnon Nagler
  • Sheba Medical Center at Tel Hashomer
  • Sorbonne Université
  • CDR Saint-Antoine
  • Maria Sklodowska-Curie Institute of Oncology
  • Division of Neuroscience
  • Ludwig Maximilian University of Munich
  • IDIBAPS
  • University of Liege
  • Vanderbilt University

Research output: Contribution to journalArticlepeer-review

45 Scopus citations

Fingerprint

Dive into the research topics of 'Prediction of Hematopoietic Stem Cell Transplantation Related Mortality- Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study'. Together they form a unique fingerprint.
Sort by

Keyphrases

Medicine and Dentistry

Immunology and Microbiology

Mathematics

Social Sciences

Pharmacology, Toxicology and Pharmaceutical Science