Praetorian-covid

Cardiovascular disease (CVD) is the leading global cause of mortality and morbidity, with ischemic heart disease (IHD) representing approximately half of all CVD-related deaths. Precise, personalized risk assessment and treatment recommendations are crucial for addressing the diverse population at risk of CVD. Current standard approaches rely on algorithms that incorporate a limited set of traditional risk factors to estimate CVD and IHD risk. However, significant cardiovascular events often occur in individuals categorized as low risk, underscoring the need for ongoing research to enhance preventive strategies. The Focus The MyDigiTwin initiative aims to provide individuals with personalized insights into their cardiac health, enabling proactive monitoring and management of cardiovascular conditions. This integrated digital health platform empowers individuals to take control of their cardiac health by offering accessible, data-driven insights and tools. The Research MyDigiTwin is a pioneering research initiative focused on revolutionizing cardiac health management by integrating advanced AI technologies with extensive patient data. The development of MyDigiTwin involves harnessing large-scale longitudinal datasets from over 500,000 patients, combined with sophisticated AI algorithms. This approach enables the platform to analyze diverse health parameters and generate tailored recommendations for users based on their unique health profiles. By leveraging AI and comprehensive patient data, MyDigiTwin represents an innovative approach to preventive and personalized healthcare, facilitating early detection and intervention for cardiovascular conditions. Origin This project was funded within the Big Data & Health Program. The focus of this public-private research program is the use of big data for the early detection and prevention of cardiovascular diseases. The program has been developed by NWO, ZonMw, the Dutch Heart Foundation, the Top Sectors Life Sciences & Health (LSH), ICT and Creative Industry, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center. Within this research program, the ambitions of the Dutch Heart Foundation, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center were aligned with the ambitions of Commit2Data for the Top Sectors ICT, LSH, and Creative Industry, as described in the 2018-2019 Kennis- en Innovatiecontracts between NWO and the Top Sectors.

Clinical staff in hospital wards traditionally collect vital signs periodically to assess a patient's cardiorespiratory status, often with intervals of 6 to 10 hours. This method, known as spot-checking, has limitations due to its infrequent nature and dependence on contact sensors, which can be uncomfortable for patients, particularly during sleep. The Focus Recent advancements demonstrate that vital signs like heart rate, respiration rate, blood oxygen saturation, and temperature can be monitored remotely using camera-based methods, which are less invasive compared to contact sensors. This innovation could significantly enhance patient comfort by enabling continuous monitoring without the need for frequent interventions by clinical staff. Continuous monitoring also allows for trend analysis of vital signs, offering a comprehensive assessment of a patient's cardiorespiratory condition. Additionally, camera-based methods enable video context analysis, such as detecting patient movements or identifying pain through facial expression analysis. This project explores the use of continuous video monitoring as an unobtrusive method to predict and monitor patient deterioration or adverse events. The Research Initially, the feasibility and reliability of camera-based continuous monitoring will be evaluated using data from consenting patients in the ICU at Catharina Hospital in Eindhoven and healthy volunteers. Subsequently, robust technologies will be developed to automatically detect signs of patient deterioration by generating automated early warning scores based on measured vital signs. Throughout the project, feedback from clinical staff and patient experiences will inform the design and implementation of camera-based technologies and early warning systems. Origin This project is funded within the Innovative Medical Devices Initiative (IMDI) program 'Heart for Sustainable Care'. The focus of this program is the development of medical technology for the earlier detection, monitoring, and better treatment of cardiovascular diseases to ensure accessible healthcare and sufficient staffing. The program has been developed en funded by the Dutch Heart Foundation, ZonMw and NWO, who collaborate within the Dutch CardioVascular Alliance.