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Marco Muselli

Showing results (21-30 of 30) with videos related to

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Cancers|August 23, 2020
Hypoxia Predicts Poor Prognosis in Neuroblastoma Patients and Associates with Biological Mechanisms Involved in Telomerase Activation and Tumor Microenvironment ReprogrammingDavide Cangelosi, Martina Morini, Nicolò Zanardi, et al.
Diabetes, Obesity & Metabolism|March 10, 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 CohortPierpaolo Falcetta, Rita Zilich, Fabio Baccetti, et al.
The Journal of Clinical Endocrinology and Metabolism|April 8, 2025
Treatment intensification strategies and metabolic outcomes in individuals with type 2 diabetes on GLP-1 RA therapyPierpaolo Falcetta, Rita Zilich, Fabio Baccetti, et al.
American Journal of Medical Genetics. Part A|January 27, 2017
A predictive model for obstructive sleep apnea and Down syndromeBrian G Skotko, Eric A Macklin, Marco Muselli, et al.
Cardiovascular Diabetology|February 28, 2025
Lipid-lowering therapy and LDL target attainment in type 2 diabetes: trends from the Italian Associations of Medical Diabetologists databaseAntonio Rossi, Davide Masi, Rita Zilich, et al.
Journal of Personalized Medicine|October 27, 2022
LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary CholangitisAlessio Gerussi, Damiano Verda, Claudio Cappadona, et al.
Clinical Therapeutics|July 14, 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 PracticeCarlo Bruno Giorda, Antonio Rossi, Fabio Baccetti, et al.
International Journal of Medical Informatics|July 26, 2024
A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapyNicoletta Musacchio, Rita Zilich, Davide Masi, et al.
Liver International : Official Journal of the International Association for the Study of the Liver|December 24, 2021
Machine learning in primary biliary cholangitis: A novel approach for risk stratificationAlessio Gerussi, Damiano Verda, Davide Paolo Bernasconi, et al.
JHEP Reports : Innovation in Hepatology|January 20, 2025
Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitisAlessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Cancers|August 23, 2020
Hypoxia Predicts Poor Prognosis in Neuroblastoma Patients and Associates with Biological Mechanisms Involved in Telomerase Activation and Tumor Microenvironment ReprogrammingDavide Cangelosi, Martina Morini, Nicolò Zanardi, et al.
Diabetes, Obesity & Metabolism|March 10, 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 CohortPierpaolo Falcetta, Rita Zilich, Fabio Baccetti, et al.
The Journal of Clinical Endocrinology and Metabolism|April 8, 2025
Treatment intensification strategies and metabolic outcomes in individuals with type 2 diabetes on GLP-1 RA therapyPierpaolo Falcetta, Rita Zilich, Fabio Baccetti, et al.
American Journal of Medical Genetics. Part A|January 27, 2017
A predictive model for obstructive sleep apnea and Down syndromeBrian G Skotko, Eric A Macklin, Marco Muselli, et al.
Cardiovascular Diabetology|February 28, 2025
Lipid-lowering therapy and LDL target attainment in type 2 diabetes: trends from the Italian Associations of Medical Diabetologists databaseAntonio Rossi, Davide Masi, Rita Zilich, et al.
Journal of Personalized Medicine|October 27, 2022
LLM-PBC: Logic Learning Machine-Based Explainable Rules Accurately Stratify the Genetic Risk of Primary Biliary CholangitisAlessio Gerussi, Damiano Verda, Claudio Cappadona, et al.
Clinical Therapeutics|July 14, 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 PracticeCarlo Bruno Giorda, Antonio Rossi, Fabio Baccetti, et al.
International Journal of Medical Informatics|July 26, 2024
A transparent machine learning algorithm uncovers HbA1c patterns associated with therapeutic inertia in patients with type 2 diabetes and failure of metformin monotherapyNicoletta Musacchio, Rita Zilich, Davide Masi, et al.
Liver International : Official Journal of the International Association for the Study of the Liver|December 24, 2021
Machine learning in primary biliary cholangitis: A novel approach for risk stratificationAlessio Gerussi, Damiano Verda, Davide Paolo Bernasconi, et al.
JHEP Reports : Innovation in Hepatology|January 20, 2025
Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitisAlessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, et al.
Pageof 3