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BMC Medical Informatics and Decision Making|July 16, 2020
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databasesMichela Carlotta Massi, Francesca Ieva, Emanuele Lettieri
Plos Computational Biology|September 26, 2022
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosisMichela Carlotta Massi, Lorenzo Dominoni, Francesca Ieva, et al.
Scientific Reports|November 2, 2023
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics dataLara Cavinato, Michela Carlotta Massi, Martina Sollini, et al.
Genome Biology|February 11, 2025
PANE: fast and reliable ancestral reconstruction on ancient genotype data with non-negative least square and principal component analysisLuciana de Gennaro, Ludovica Molinaro, Alessandro Raveane, et al.
JACC. Advances|July 28, 2026
Arrhythmic Risk in Carriers of Predicted Deleterious Rare Variants in Dilated and Arrhythmogenic Cardiomyopathy GenesIlaria Gandin, Andrea Mario Vergani, Michela Carlotta Massi, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|April 10, 2021
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicityNicola Rares Franco, Michela Carlotta Massi, Francesca Ieva, et al.
Frontiers in Oncology|November 12, 2020
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National CohortMichela Carlotta Massi, Francesca Gasperoni, Francesca Ieva, et al.
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