Davide Crucitti

Santiago De Compostela, GA, Spain

Last Updated: 09/26/2026

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Found 9 publications

IrregulAB: An open-source rule-based engine for automated red cell antibody panel interpretation.

IrregulAB: An open-source rule-based engine for automated red cell antibody panel interpretation.

Journal: Transfusion
Published: January 19, 2026

Design, Synthesis, and Evaluation of Coumarin-Rasagiline Hybrids as Multifunctional Neuroprotective Agents.

Design, Synthesis, and Evaluation of Coumarin-Rasagiline Hybrids as Multifunctional Neuroprotective Agents.

Journal: ChemMedChem
Published: December 15, 2025

Potential lipid-lowering effects of preussin B on inhibition of intestinal cholesterol absorption: integrative mechanisms of action and proteomic analysis.

Potential lipid-lowering effects of preussin B on inhibition of intestinal cholesterol absorption: integrative mechanisms of action and proteomic analysis.

Journal: Frontiers in pharmacology
Published: September 18, 2025

Machine learning risk stratification strategy for multiple myeloma: Insights from the EMN-HARMONY Alliance platform.

Machine learning risk stratification strategy for multiple myeloma: Insights from the EMN-HARMONY Alliance platform.

Journal: HemaSphere
Published: June 22, 2025

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

Journal: Blood
Published: October 15, 2024

A New Class of Benzo[b]thiophene-chalcones as Cholinesterase Inhibitors: Synthesis, Biological Evaluation, Molecular Docking and ADME Studies.

A New Class of Benzo[b]thiophene-chalcones as Cholinesterase Inhibitors: Synthesis, Biological Evaluation, Molecular Docking and ADME Studies.

Journal: Molecules (Basel, Switzerland)
Published: July 18, 2024

Validation of the Artificial Intelligence Prognostic Scoring System for Myelodysplastic Syndromes in chronic myelomonocytic leukaemia: A novel approach for improved risk stratification.

Validation of the Artificial Intelligence Prognostic Scoring System for Myelodysplastic Syndromes in chronic myelomonocytic leukaemia: A novel approach for improved risk stratification.

Journal: British journal of haematology
Published: November 02, 2023

Integrating AIPSS-MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis.

Integrating AIPSS-MF and molecular predictors: A comparative analysis of prognostic models for myelofibrosis.

Journal: HemaSphere
Published: October 24, 2023

Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes.

Machine Learning Improves Risk Stratification in Myelodysplastic Neoplasms: An Analysis of the Spanish Group of Myelodysplastic Syndromes.

Journal: HemaSphere
Published: June 13, 2023
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Last Updated: 09/26/2026