Research Activities
Application of advanced statistical methods, machine learning, deep learning, explainable AI (XAI), and data mining for predicting pathological mechanisms, identifying disease biomarkers and supporting patient stratification.
Development and implementation of databases/portals
Management and harmonization of biomedical data through organization, curation, and integration of heterogeneous health and research datasets into standardized formats.
Implementation of studies that combine classical epidemiological methods with high-throughput technologies to reveal the intricate relationship between molecular profiles, environmental exposures, and disease risk.
Exploring the inverse relationship between diseases and comorbidities by means of genetic and clinical data analysis.
Genome-wide association studies (GWAS) in large patient series and cohorts, also using biobank data.
