Gian Maria Zaccaria

Work

Polytechnic University of Bari
|

Assistant Professor

Italy

Publications

SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data

Published by

Computer Methods and Programs in Biomedicine

Summary

journal-article

A time-dependent explainable radiomic analysis from the multi-omic cohort of CPTAC-Pancreatic Ductal Adenocarcinoma

Published by

Computer Methods and Programs in Biomedicine

Summary

journal-article

Supplementary Figure S3 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

Summary

preprint

Candidate germline biomarkers of lenalidomide efficacy in mantle cell lymphoma: the Fondazione Italiana Linfomi MCL0208 trial

Published by

Blood Advances

Summary

journal-article

Supplementary Figure S3 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S2 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S4 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S5 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S6 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

TRIPOD Checklist from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S3 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S6 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S5 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Appendix from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S4 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S1 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Data from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S2 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

TRIPOD Checklist from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

TRIPOD Checklist from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Data from Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

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preprint

Data from Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

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preprint

Supplementary Appendix from Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

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preprint

Supplementary Appendix from Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

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preprint

Data from Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

Summary

preprint

Supplementary Appendix from Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

Summary

preprint

TRIPOD Checklist from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

Summary

preprint

Data from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

Summary

preprint

Data from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

Summary

preprint

Supplementary Appendix from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S6 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S4 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S5 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S1 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S2 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Appendix from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Supplementary Figure S1 from Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

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preprint

Punctual and kinetic MRD analysis from the Fondazione Italiana Linfomi MCL0208 phase 3 trial in mantle cell lymphoma

Published by

Blood

Summary

journal-article

Primary, Bilateral and Diffuse Renal Non-Hodgkin’s Lymphoma in a Young Woman Suffering from Turner Syndrome

Published by

Journal of Personalized Medicine

Summary

journal-article

Primary, Bilateral and Diffuse Renal Non-Hodgkin’s Lymphoma in a Young Woman Suffering from Turner Syndrome

Published by

Journal of Personalized Medicine

Summary

journal-article

A Clinical Prognostic Model Based on Machine Learning from the Fondazione Italiana Linfomi (FIL) MCL0208 Phase III Trial

Published by

Cancers

Summary

journal-article

Development and Validation of a Simplified Score to Predict Early Relapse in Newly Diagnosed Multiple Myeloma in a Pooled Dataset of 2,190 Patients

Published by

Clinical Cancer Research

Summary

journal-article

A Clinical Prognostic Model Based on Machine Learning from the Fondazione Italiana Linfomi (FIL) MCL0208 Phase III Trial

Published by

Cancers

Summary

journal-article

6q deletion in Waldenstrom macroglobulinaemia negatively affects time to transformation and survival

Published by

British Journal of Haematology

Summary

journal-article

A New Ensemble Method for Detecting Anomalies in Gene Expression Matrices

Published by

Mathematics

Summary

journal-article

A New Ensemble Method for Detecting Anomalies in Gene Expression Matrices

Published by

Mathematics

Summary

journal-article

Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

Published by

Clinical Cancer Research

Summary

journal-article

Early Relapse Risk in Patients with Newly Diagnosed Multiple Myeloma Characterized by Next-generation Sequencing

Published by

Clinical Cancer Research

Summary

journal-article

6q deletion in Waldenström macroglobulinaemia negatively affects time to transformation and survival

Published by

British Journal of Haematology

Summary

journal-article

COMPREHENSIVE ANALYSIS OF BASELINE OUTCOME BIOPREDICTORS IN YOUNGER PATIENTS WITH MANTLE CELL LYMPHOMA: THE ANCILLARY BIOLOGICAL STUDIES OF FONDAZIONE ITALIANA LINFOMI (FIL) MCL0208 CLINICAL TRIAL

Published by

HemaSphere

Summary

conference-abstract

Comprehensive Minimal Residual Disease (MRD) Analysis of the Fondazione Italiana Linfomi (FIL) MCL0208 Clinical Trial for Younger Patients with Mantle Cell Lymphoma: A Kinetic Model Ensures a More Refined Risk Stratification

Published by

Blood

Summary

conference-abstract

The Engineered MIPI (e-MIPI), a Candidate Data-Mining Based Mantle Cell Lymphoma Prognostic Index Developed from the Dataset of the Fondazione Italiana Linfomi (FIL) MCL0208 Phase III Trial

Published by

Blood

Summary

conference-abstract

Ficoll-hypaque separation vs whole blood lysis: Comparison of efficiency and impact on minimal residual disease analysis

Published by

International Journal of Laboratory Hematology

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journal-article

Ficoll-hypaque separation vs whole blood lysis: Comparison of efficiency and impact on minimal residual disease analysis

Published by

International Journal of Laboratory Hematology

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journal-article

Highly sensitive MYD88 <sup>l265p</sup> mutation detection by droplet digital polymerase chain reaction in waldenström macroglobulinemia

Published by

Haematologica

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journal-article

Data quality improvement of a multicenter clinical trial dataset

Published by

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

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conference-paper

Monocentric survey about the use of Raltitrexed in the daily clinical practice for patients with metastatic colorectal cancer

Published by

Annals of Oncology

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journal-article

ZebraBeat : A flexible platform for the analysis of the cardiac rate in zebrafish embryos

Published by

Scientific Reports

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journal-article

IMAGE-BASED AUTOMATIC METHOD TO NOT INVASIVELY MONITOR THE HEART RHYTHM OF ZEBRAFISH EMBRYOS

Published by

The International Journal of Artificial Organs

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journal-article