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Plos One|June 12, 2019
Can we predict firms' innovativeness? The identification of innovation performers in an Italian region through a supervised learning approachIlaria Gandin, Claudio Cozza
Journal of Biomedical Informatics|July 29, 2021
Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unitIlaria Gandin, Arjuna Scagnetto, Simona Romani, et al.
Genome|January 17, 2017
A semi-nested real-time PCR method to detect low chimerism percentage in small quantity of hematopoietic stem cell transplant DNA samplesMichelangelo Aloisio, Barbara Bortot, Ilaria Gandin, et al.
BMC Medical Research Methodology|July 22, 2023
Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillationGiovanni Baj, Ilaria Gandin, Arjuna Scagnetto, et al.
Plos One|February 22, 2023
Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort studyIlaria Gandin, Sebastiano Saccani, Andrea Coser, et al.
Surgical Endoscopy|January 13, 2023
microRNAs combined to radiomic features as a predictor of complete clinical response after neoadjuvant radio-chemotherapy for locally advanced rectal cancer: a preliminary studyPasquale Losurdo, Ilaria Gandin, Manuel Belgrano, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
Correlation between Microvascular Damage and Internal Organ Involvement in Scleroderma: Focus on Lung Damage and Endothelial DysfunctionMario D'Oria, Ilaria Gandin, Pozzan Riccardo, et al.
European Journal of Ophthalmology|April 24, 2024
Autonomous artificial intelligence versus teleophthalmology for diabetic retinopathyDonatella Musetti, Carlo Alberto Cutolo, Monica Bonetto, et al.
Frontiers in Medicine|June 30, 2023
A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patientsEleonora De Martino, Ilaria Gandin, Eros Azzalini, et al.
Cancers|December 1, 2020
DKC1 Overexpression Induces a More Aggressive Cellular Behavior and Increases Intrinsic Ribosomal Activity in Immortalized Mammary Gland CellsAnia Naila Guerrieri, Federico Zacchini, Carmine Onofrillo, et al.
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