Scientific AI Flagship · Human Technopole


Publications

Preprints, peer-reviewed papers, and software releases from Flagship-affiliated authors. Author names on this page link to Human Technopole profiles where available.

Preprints

Recent submissions to arXiv, newest first.

Preprint · July 2026

Enhancing comorbidity network inference with risk-enriched health trajectories embedding

Nicole Fontana, Alessia Mapelli, Emanuele Di Angelantonio, Francesca Ieva

Proposes a methodological pipeline that leverages Gaussian graphical models to infer risk-adjusted comorbidity networks from longitudinal data represented as sequences of clinical events over the life course.

arXiv:2607.04702 →

Preprint · June 2026

Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction

Alessia Mapelli, Michela Carlotta Massi, Gianmauro Cuccuru, Emanuele Di Angelantonio, Francesca Ieva

Introduces a scalable framework based on Gaussian graphical regression models to reconstruct molecular interaction networks by integrating database-derived interaction priors with covariate-dependent network modelling, accounting for both confounding and patient-specific heterogeneity.

arXiv:2606.31805 →

Peer-reviewed papers and software releases from the Flagship will appear here as its work matures.