16 citations · 49 across the 38 of their papers we have counts for
9 papers · 1 filter
Generalized propensity score weighting for functional causal inference framework
Simone Ciardulli, Nicole Fontana, Simone Vantini +1
Estimating causal effects in observational studies requires adjustment for confounding, a task that becomes challenging when the exposure is a function observed over a continuous d…
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…
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…
Trajectory-informed graph-based clustering for longitudinal cancer subtyping
Lara Cavinato, Marco Rocchi, Luca Viganò +1
Cancer subtyping plays a crucial role in informing prognosis and guiding personalized treatment strategies. However, conventional subtyping approaches often rely on static, biopsy-…
Hidden multistate models to study multimorbidity trajectories
Valentina Manzoni, Francesca Ieva, Amaia Calderón-Larrañaga +2
Multimorbidity in older adults is common, heterogeneous, and highly dynamic, and it is strongly associated with disability and increased healthcare utilization. However, existing a…
Penalized Likelihood Optimization for Adaptive Neighborhood Clustering in Time-to-Event Data with Group-Level Heterogeneity
Alessandra Ragni, Lara Cavinato, Francesca Ieva
The identification of patient subgroups with comparable event-risk dynamics plays a key role in supporting informed decision-making in clinical research. In such settings, it is im…
A neighbour selection approach for identifying differential networks in conditional functional graphical models
Alessia Mapelli, Laura Carini, Francesca Ieva +1
Estimating how different brain regions communicate with each other using EEG data is valuable both for medical research and clinical diagnosis. This involves quantifying the statis…