The research line aims at the integration of different information for the understanding of physiological system functioning, the identification of early signs of pathology, the development of novel diagnostic approaches and the integration of those methods in personalized, patient specific procedures and services. The research activity is mainly carried out in the “Biosignals, Biomaging and Bioinformatics” (B3LAB) laboratory and in the “e-Health” Laboratory and is articulated in the following main areas:
The modeling of physiological systems (cardio-vascular, respiratory, neuro-sensory, autonomic) and the processing of relevant biomedical data, signals, and images addresses diagnostic parameters, monitoring of vital signs, prevention, therapeutic planning and follow-up, through a minimal invasive and evidence based approach.
Clinical Diagnostics. Study of the autonomic cardiovascular regulation and cardiac dynamics to develop clinical diagnostic towards monitoring in chronic pathologies, recovery, critical care, surgery. Anatomical and functional imaging (US, MRI, CT). Fusion of anatomic and functional images, signals, and biomolecular data is applied in the study of structure-to-function relationship in the central nervous system, cognitive processes, damage due to pathology and/or ageing. Fusion of molecular, micro-structural, functional, and anatomical imaging is investigated for diagnostic applications as tumor diagnosis and staging.
Bioinformatics and functional genomics.
Genomics and proteomics in molecular medicine and systems biology. Analysis of gene expression. Sequence analysis for identification of functional elements in the genome, study of regulation and interaction processes; characterization of specific signatures of pathologic conditions from molecular profiling.
E-health. E-Health addresses the improvement of public health as well as personalized procedures and services, by means of Information and Communication Technology (ICT) and process modeling approach. Health systems are analyzed at territorial and national level, with an increasing attention to developing countries. Quantitative indexes are developed relevant to the efficacy and efficiency of governance, management of the clinical risk, transparency. Standardization and portability of procedures (e.g., electronic health record) and medical knowledge bases (e.g., terminologies, ontologies and data banks). Development of smart mobile technologies.