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Frontiers in Bioinformatics|June 5, 2026
N2SIMBA: from Network topology to SIMulation of interactions and BActerial abundance, using microbial consumer resource modelMatteo Baldan, Giacomo Baruzzo, Piero Mariotto, et al.
Source Code for Biology and Medicine|January 11, 2013
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput dataGrzegorz Zycinski, Annalisa Barla, Margherita Squillario, et al.
BMC Bioinformatics|April 28, 2012
Improving biomarker list stability by integration of biological knowledge in the learning processTiziana Sanavia, Fabio Aiolli, Giovanni Da San Martino, et al.
Computer Methods and Programs in Biomedicine|May 18, 2025
The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetesDavide Dei Cas, Barbara Di Camillo, Gian Paolo Fadini, et al.
BMC Cell Biology|March 21, 2014
Leucine modulates dynamic phosphorylation events in insulin signaling pathway and enhances insulin-dependent glycogen synthesis in human skeletal muscle cellsBarbara Di Camillo, Federica Eduati, Sreekumaran K Nair, et al.
BMC Medical Informatics and Decision Making|August 22, 2020
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approachErica Tavazzi, Sebastian Daberdaku, Rosario Vasta, et al.
Cardiovascular Diabetology|June 12, 2020
Better cardiovascular outcomes of type 2 diabetic patients treated with GLP-1 receptor agonists versus DPP-4 inhibitors in clinical practiceEnrico Longato, Barbara Di Camillo, Giovanni Sparacino, et al.
IEEE Journal of Biomedical and Health Informatics|March 12, 2021
A Deep Learning Approach to Predict Diabetes' Cardiovascular Complications From Administrative ClaimsEnrico Longato, Gian Paolo Fadini, Giovanni Sparacino, et al.
European Journal of Preventive Cardiology|February 24, 2021
Cardiovascular effectiveness of human-based vs. exendin-based glucagon like peptide-1 receptor agonists: a retrospective study in patients with type 2 diabetesEnrico Longato, Barbara Di Camillo, Giovanni Sparacino, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Characterization of Chronic Kidney Disease Progression in Patients with Diabetes via Group-Based Multi-Trajectory ModelingAlessandro Guazzo, Enrico Longato, Gian Paolo Fadini, et al.
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