Rita Zilich

Via Circonvallazione 5
Ivrea, Italy

Last Updated: 09/26/2026

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Found 12 publications

Cardiometabolic profile and cardiorenal complications across BMI categories in type 2 diabetes: A nationwide real-world analysis of over 500,000 patients.

Cardiometabolic profile and cardiorenal complications across BMI categories in type 2 diabetes: A nationwide real-world analysis of over 500,000 patients.

Journal: Diabetes research and clinical practice

Published: May 09, 2026

Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.

Identifying Predictors of Early Treatment Intensification in Individuals With Type 2 Diabetes Treated With GLP-1 Receptor Agonists: A Machine Learning-Based Analysis of a Large Real World Cohort.

Journal: Diabetes, obesity & metabolism

Published: December 30, 2025

Real-world prescriptions of GLP-1RAs and SGLT2is in type 2 diabetes prioritise BMI and age over cardiorenal risk: a machine learning-based large cohort analysis.

Real-world prescriptions of GLP-1RAs and SGLT2is in type 2 diabetes prioritise BMI and age over cardiorenal risk: a machine learning-based large cohort analysis.

Journal: Cardiovascular diabetology. Endocrinology reports

Published: July 31, 2025

Lipid-lowering therapy and LDL target attainment in type 2 diabetes: trends from the Italian Associations of Medical Diabetologists database.

Lipid-lowering therapy and LDL target attainment in type 2 diabetes: trends from the Italian Associations of Medical Diabetologists database.

Journal: Cardiovascular diabetology

Published: December 22, 2024

Treatment Intensification Strategies and Metabolic Outcomes in Individuals With Type 2 Diabetes on GLP-1 RA Therapy.

Treatment Intensification Strategies and Metabolic Outcomes in Individuals With Type 2 Diabetes on GLP-1 RA Therapy.

Journal: The Journal of clinical endocrinology and metabolism

Published: December 19, 2024

A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy.

A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapy.

Journal: International journal of medical informatics

Published: March 17, 2024

Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group.

Uncovering Predictors of Lipid Goal Attainment in Type 2 Diabetes Outpatients Using Logic Learning Machine: Insights from the AMD Annals and AMD Artificial Intelligence Study Group.

Journal: Journal of clinical medicine

Published: March 24, 2023

Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-learning Projection Using Data from Clinical Practice.

Achieving Good Metabolic Control Without Weight Gain with the Systematic Use of GLP-1-RAs and SGLT-2 Inhibitors in Type 2 Diabetes: A Machine-learning Projection Using Data from Clinical Practice.

Journal: Clinical therapeutics

Published: January 30, 2023

Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes.

Transparent machine learning suggests a key driver in the decision to start insulin therapy in individuals with type 2 diabetes.

Journal: Journal of diabetes

Published: May 30, 2022

Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Journal: Nutrients

Published: November 25, 2021

Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis.

Determinants of good metabolic control without weight gain in type 2 diabetes management: a machine learning analysis.

Journal: BMJ open diabetes research & care

Published: March 17, 2020

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists.

Journal: Journal of medical Internet research

Published: November 05, 2019

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Last Updated: 09/26/2026