2 citations · 2 across the 3 of their papers we have counts for
6 papers
Enhancing comorbidity network inference with risk-enriched health trajectories embedding
Nicole Fontana, Alessia Mapelli, Emanuele Di Angelantonio +1
Multimorbidity poses a growing challenge for individual health, reducing quality of life and increasing treatment burden, resulting in a multiplicative impact on healthcare system…
Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction
Alessia Mapelli, Michela Carlotta Massi, Gianmauro Cuccuru +2
Protein-protein interaction (PPI) networks, estimated from high-throughput omics data, foster biomarker discovery and precision medicine. Gaussian graphical models (GGMs) offer a p…
A latent class approach to assess the effects of dynamic adherence to polytherapy in heart failure patients
Nicole Fontana, Laura Savaré, Emanuele Di Angelantonio +1
Heart failure (HF) treatment relies heavily on pharmacotherapy, particularly combining multiple therapies as recommended by clinical guidelines. However, non-adherence to prescribe…
mmid: Multi-Modal Integration and Downstream analyses for healthcare analytics in Python
Andrea Mario Vergani, Valeria Iapaolo, Emanuele Di Angelantonio +2
mmid (Multi-Modal Integration and Downstream analyses for healthcare analytics) is a Python package that offers multi-modal fusion and imputation, classification, time-to-event pre…
SNPgen: Phenotype-Supervised Genotype Representation and Synthetic Data Generation via Latent Diffusion
Andrea Lampis, Michela Carlotta Massi, Nicola Pirastu +3
Polygenic risk scores and other genomic analyses require large individual-level genotype datasets, yet strict data access restrictions impede sharing. Synthetic genotype generation…
Unraveling time-varying causal effects of multiple exposures: integrating Functional Data Analysis with Multivariable Mendelian Randomization
Nicole Fontana, Francesca Ieva, Luisa Zuccolo +2
Mendelian Randomization is a widely used instrumental variable method for assessing causal effects of lifelong exposures on health outcomes. Many exposures, however, have causal ef…