The need to initiate the International PhD program DigiCardioPaTh (code 32450) follows the rapid development of basic and translational research applied to the cardiovascular field.
The latter is growingly influenced by the presence of artificial intelligence and machine learning in the diagnostic and therapeutic models, by the use of devices for the remote monitoring of vital parameters, by the innovative opportunity of digital training.
The ambition of DigiCardioPaTh is to build an international research network to enable PhD students and researchers to overcome logistic barriers and limited resources availability especially in fields strongly innovative.
The main objective of DigiCardioPaTh is to train researchers expert in cardiovascular diseases, able to broaden the knowledge of applied artificial intelligence, to identify innovative diagnostic and therapeutic solutions to complex problems, through the implementation of miniaturized equipment for the tele-monitoring and follow-up of treated patients. Point of excellence of DigiCardioPaTh is the institution of an international network that allows the PhD student to benefit from an inter-disciplinary and transnational approach, also through a minimum 1-year period of stay in other agreed campi of the consortium.
The educational program comprises institutional advanced courses in: a) advanced non-invasive and invasive diagnostic methodology of the most common cardiovascular diseases (e.g. coronary atherosclerosis, heart valve disease, arrhythmias, etc.); b) machine learning applied to the diagnosis and treatment of cardiovascular diseases; c) tools and techniques for the tele-monitoring; d) advanced analysis of the cardiovascular imaging (e.g. assessment of coronary shear-stress, plaque burden, functional impact of coronary stenoses, etc.); e) models predictive of the impact of interventional cardiovascular procedures; f) educational courses in advanced statistical analysis (SPSS, R, etc.). In addition to the institutional courses above-mentioned, the PhD course proposes to the PhD students 3 different curricula: 1) Endovascular and structural cardiovascular intervention; 2) Cardiomyopathies, arrhythmias, and hypertension; 3) Advanced non-invasive cardiovascular imaging.
The organization of the PhD course in curricula entails that the PhD student can obtain an in-depth knowledge of super-specialized topics through educational modules held by renowned national and international experts focused on methodologies based on the latest scientific evidence.
The curriculum Endovascular and structural cardiac intervention aims to provide an in-depth knowledge on the most advanced endovascular technique to diagnose and guide the treatment of complex cardiovascular diseases. To the PhD students will be provided the notions to develop new and more sophisticated diagnostic and therapeutic algorhythm also through the application of machine learning.
The curriculum Cardiomyopathies and arrhythmias aims at optimize the diagnosis and treatment of the different types of cardiomyopathies (dilated, hypertrophic, hypertensive, arrhythmic, etc.) through an in-depth knowledge of techniques for clinical screening, genetic, bio-humoral and diagnostic, as well as through the appropriate management of tele-monitoring
The curriculum Advanced non-invasive cardiovascular imaging , deeply linked to the 2 previous curricula, will specifically focus on training the PhD student on non-invasive diagnostic techniques and to provide the tools to develop new diagnostic algorhythm or applications based on identified un-met clinical needs.
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