Outcomes with intensive treatment for acute myeloid leukemia: an analysis of two decades of data from the HARMONY AllianceMarta Sobas, Lars Bullinger, Eric Sträng et al.|Haematologica|2024Cited by 7
Harmony Alliance Provides a Machine Learning Researching Tool to Predict the Risk of Relapse after First Remission in AML Patients Treated without Allogeneic Haematopoietic Stem Cell TransplantationMarta Sobas, Jesús María Hernández‐Rivas, Javier Martínez Elicegui et al.|Blood|2021Cited by 4
Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of MyelofibrosisAdrián Mosquera Orgueira, Juan Carlos Hernández‐Boluda, Manuel Pérez‐Encinas et al.|Blood|2022Cited by 2
Does RAD21 Co-Mutation Have a Role in DNMT3A Mutated AML? Results of Harmony Alliance AML DatabaseRaúl Azibeiro Melchor, Gert J. Ossenkoppele, Alberto Hernández‐Sánchez et al.|Blood|2021Cited by 1
Long-Term Follow-up of AML Patients Treated Intensively before the Era of Targeted Agents. a Big Data Analysis from the Harmony CollaborationMarta Sobas, Lars Bullinger, Ángela Villaverde Ramiro et al.|Blood|2022Cited by 1