MARTA SPREAFICO

Assistant Professor

Leiden University

Netherlands

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About

Marta Spreafico is an Assistant Professor at Leiden University in the Netherlands. Her research focuses on the application of statistical models and machine learning in oncology, particularly concerning osteosarcoma and hematologic neoplasms. Recent contributions include the development of predictive models for overall survival, clinical decision support systems, and novel toxicity scoring methods related to chemotherapy treatment.

Articles (10)

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2021

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2021

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2021

Collaborators (6)

Somedeb Ball

Vanderbilt University Medical Center

UNITED STATES

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María Díez Campelo

Universidad de Salamanca

SPAIN

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Luca Lanino

Humanitas University

ITALY

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Jos van der Hage

Professor of Surgery

Leiden University Medical Center

NETHERLANDS

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Francesca Ieva

Associate Professor

Politecnico di Milano

ITALY

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Hans Gelderblom

Prof.dr.

Leiden University Medical Center

NETHERLANDS

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MARTA SPREAFICO

Research Interests

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About

Articles (10)

Survival after resection of malignant peripheral nerve sheath tumors: Introducing and validating a novel type-specific prognostic model

Machine Learning versus Cox Models for Predicting Overall Survival in Patients with Osteosarcoma: A Retrospective Analysis of the EURAMOS-1 Clinical Trial Data

Dynamic Prediction of Overall Survival for Patients with Osteosarcoma: A Retrospective Analysis of the EURAMOS-1 Clinical Trial Data

Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients With Myelodysplastic Syndromes

Personalized Timing for Allogeneic Stem-Cell Transplantation in Hematologic Neoplasms: A Target Trial Emulation Approach Using Multistate Modeling and Microsimulation

Longitudinal latent overall toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models

Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma

Novel longitudinal Multiple Overall Toxicity (MOTox) score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma

Functional modeling of recurrent events on time‐to‐event processes

Dynamic monitoring of the effects of adherence to medication on survival in heart failure patients: A joint modeling approach exploiting time‐varying covariates

Collaborators (6)

Somedeb Ball

María Díez Campelo

Luca Lanino

Jos van der Hage

Francesca Ieva

Hans Gelderblom

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