Elisabetta Sauta

Via Manzoni 56, Milan
Rozzano, 20089, Italy

Last Updated: 09/26/2026

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Found 34 publications

Treat-to-target optimization of biologic therapy is effective on endoscopic and histologic outcomes in a real-life cohort of ulcerative colitis-the TACTIC-UC study.

Treat-to-target optimization of biologic therapy is effective on endoscopic and histologic outcomes in a real-life cohort of ulcerative colitis-the TACTIC-UC study.

Journal: Journal of Crohn's & colitis

Published: December 27, 2025

Treat-to-target optimization of biologic therapy is effective on endoscopic and histologic outcomes in a real-life cohort of ulcerative colitis-the TACTIC-UC study.

Treat-to-target optimization of biologic therapy is effective on endoscopic and histologic outcomes in a real-life cohort of ulcerative colitis-the TACTIC-UC study.

Journal: Journal of Crohn's & colitis

Published: December 27, 2025

Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast Cancer.

Longitudinal Synthetic Data Generation by Artificial Intelligence to Accelerate Clinical and Translational Research in Breast Cancer.

Journal: JCO clinical cancer informatics

Published: November 06, 2025

Real-world, multi-omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS).

Real-world, multi-omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS).

Journal: HemaSphere

Published: October 21, 2025

Characterization and Clinical Implications of p53 Dysfunction in Patients With Myelodysplastic Syndromes.

Characterization and Clinical Implications of p53 Dysfunction in Patients With Myelodysplastic Syndromes.

Journal: Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Published: May 02, 2025

VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes.

VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes.

Journal: Computer methods and programs in biomedicine

Published: July 08, 2024

MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers.

MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers.

Journal: JCO clinical cancer informatics

Published: June 14, 2024

Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes.

Data-driven, harmonised classification system for myelodysplastic syndromes: a consensus paper from the International Consortium for Myelodysplastic Syndromes.

Journal: The Lancet. Haematology

Published: May 20, 2024

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

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

Journal: JCO clinical cancer informatics

Published: May 09, 2024

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

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

Journal: Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Published: May 09, 2024

HELLS regulates transcription in T-cell lymphomas by reducing unscheduled R-loops and by facilitating RNAPII progression.

HELLS regulates transcription in T-cell lymphomas by reducing unscheduled R-loops and by facilitating RNAPII progression.

Journal: Nucleic acids research

Published: August 25, 2023

The long non-coding RNA TAZ-AS202 promotes lung cancer progression via regulation of the E2F1 transcription factor and activation of Ephrin signaling.

The long non-coding RNA TAZ-AS202 promotes lung cancer progression via regulation of the E2F1 transcription factor and activation of Ephrin signaling.

Journal: Cell death & disease

Published: August 10, 2023

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Last Updated: 09/26/2026