Mauro Amato is researcher at the Unit for the Study of Arterial Morphology and Functionality of the Centro Cardiologico Monzino, IRCCS, Milan Italy.
Main research topics:
• identification of new atherosclerosis risk factors on the basis of their effect on carotid intima media thickness (C-IMT) and endothelial function.
• development of new tools for the study of atherosclerosis and for improving predictability of vascular events.
• assessment of the association between C-IMT, carotid plaque volume (and their changes over-time), and conventional and emerging risk factors and the incidence of cardiovascular events.
• assessment of the effects of pharmacological treatments on morphological and functional properties of superficial arteries.
• identification of innovative methods for image processing based on artificial neural networks analyses.
• use of novel statistical models able to account for the complex patterns of interconnections between the different variables affecting cardiovascular disease.
• epidemiological studies aimed at identifying subjects at high risk of cardiovascular diseases.
• Analysis of genetic and environmental risk factors of interest for atherosclerotic disease
• Creation and management of related databases in Access environment.
Dr. Amato has also been involved in the organization, coordination and data management of scientific activities of a number of mono and multi-center clinical trias.
Mauro Amato is researcher at the Unit for the Study of Arterial Morphology and Functionality of the Centro Cardiologico Monzino, IRCCS, Milan Italy.
Main research topics:
• identification of new atherosclerosis risk factors on the basis of their effect on carotid intima media thickness (C-IMT) and endothelial function.
• development of new tools for the study of atherosclerosis and for improving predictability of vascular events.
• assessment of the association between C-IMT, carotid plaque volume (and their changes over-time), and conventional and emerging risk factors and the incidence of cardiovascular events.
• assessment of the effects of pharmacological treatments on morphological and functional properties of superficial arteries.
• identification of innovative methods for image processing based on artificial neural networks analyses.
• use of novel statistical models able to account for the complex patterns of interconnections between the different variables affecting cardiovascular disease.
• epidemiological studies aimed at identifying subjects at high risk of cardiovascular diseases.
• Analysis of genetic and environmental risk factors of interest for atherosclerotic disease
• Creation and management of related databases in Access environment.
Dr. Amato has also been involved in the organization, coordination and data management of scientific activities of a number of mono and multi-center clinical trias.