Age- and sex-dependent gene expression landscapes in dyslipidaemia-driven atherosclerosis

Ageing and biological sex are major determinants of cardiometabolic risk, yet their combined impact on the molecular regulation of dyslipidaemia-associated atherosclerosis remains incompletely understood. Here, we present an integrative bioinformatic analysis to investigate age- and sex-dependent gene expression patterns across tissues relevant to vascular disease. Using curated disease–gene associations from the T2DiACoD database, tissue-specific transcriptomic data from GTEx, and network-le...

From data to decisions: a modular platform for modelling and simulation of infectious disease diffusion in networks

Accurately modelling diffusion dynamics in complex networks is essential for improving medical outcomes, guiding pandemic preparedness, and optimizing resource allocation in public health. However, existing approaches often face a trade-off between predictive performance and model interpretability, limiting their utility for clinical decision-making and strategic planning. This study presents a modular computational methodology that integrates classical compartmental models with graph neural ...

Design of a RAG framework for cardiology EHR analysis

Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems have significantly advanced data modelling capabilities and improved opportunities for extracting knowledge from vast and heterogeneous biomedical datasets. Recent research has increasingly focused on integrating LLMs with custom-designed RAGs to create systems capable of handling complex biomedical challenges, with a growing demand for more reliable and precise prediction mechanisms in health-related contexts. This...

Lecciones de Derecho Penal Italiano