Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting or iginating in Trento,Italy,by NewsRx journalists,research stated,"The burden of Parkinson Disease (PD) represents a key public health issue and it is essenti al to develop innovative and cost-effective approaches to promote sustainable di agnostic and therapeutic interventions. In this perspective the adoption of a P3 (predictive,preventive and personalized) medicine approach seems to be pivotal ." Financial support for this research came from Ministero della Salute. The news reporters obtained a quote from the research,"The NeuroArtP3 (NET-2018 -12366666) is a four-year multi-site project co-funded by the Italian Ministry o f Health,bringing together clinical and computational centers operating in the field of neurology,including PD. The core objectives of the project are: i) to harmonize the collection of data across the participating centers,ii) to struct ure standardized disease-specific datasets and iii) to advance knowledge on dise ase's trajectories through machine learning analysis. The 4-years study combines two consecutive research components: i) a multi-center retrospective observatio nal phase; ii) a multi-center prospective observational phase. The retrospective phase aims at collecting data of the patients admitted at the participating cli nical centers. Whereas the prospective phase aims at collecting the same variabl es of the retrospective study in newly diagnosed patients who will be enrolled a t the same centers. The participating clinical centers are the Provincial Health Services (APSS) of Trento (Italy) as the center responsible for the PD study an d the IRCCS San Martino Hospital of Genoa (Italy) as the promoter center of the NeuroartP3 project. The computational centers responsible for data analysis are the Bruno Kessler Foundation of Trento (Italy) with TrentinoSalute4.0 -Competenc e Center for Digital Health of the Province of Trento (Italy) and the LISCOMPlab University of Genoa (Italy)."
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