View clinical trials related to Cardiovascular.
Filter by:The COVID-19 health crisis has led to a drastic decrease in the rate of myocardial infarction without the causes being completely identified. They are probably multiple, but this crisis has confirmed the need for massive health data from different horizons to better assess coronary disease in order to develop precision medicine. This objective is now achievable thanks to the use of tools such as big data and artificial intelligence (AI). Our team is developing algorithms to analyze medical images and identify people at risk of major cardiovascular events. These algorithms which are developed with retrospective data must be validated on prospective data, which is the objective of the Grenoble cardiovascular digital health data observatory. The algorithm that will be validated is currently being created as part of a RIPH 3 study "AIDECORO" (NCT: 04598997). It is being developed from clinical, biological and imaging data from 600 patients with ST+ infarction and 1000 "control" patients who have undergone coronary angiography (these data are exported and stored in the PREDIMED health data warehouse via the hospital information system).
Cardiovascular Diseases (CVD) are the leading cause of morbidity and mortality globally, and older African Americans (AAs) living in rural areas are disproportionately affected by this healthcare problem. The investigators propose conducting a mixed-methods study to gain information about CVD-related knowledge, perceptions regarding CVD-related healthcare needs, preferences and access barriers, and cultural aspects within this population. The information will be used in tailoring an existing intervention to meet those needs and preferences and evaluate its feasibility among older AAs living in rural Alabama. This study will lay a foundation for developing a federal grant application and a line of independent research by this early-stage investigator.