MyDigiTwin

2020

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.

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STRAP

2020
The STRAP consortium aims to reduce the burden of heart disease by early detecting heart disease deterioration, benefiting patients, healthcare workers, and society. This initiative responds to acute needs observed in cardiology clinics, combined with the increasing availability of health tracking technologies. The project focuses on developing a new, AI-powered solution using cost-effective technology to maximize impact on healthcare costs. The Research STRAP is dedicated to developing a comprehensive data collection platform integrating off-the-shelf and cutting-edge self-tracking technologies. This platform empowers patients to measure vital signs at home, eliminating the need for frequent clinic visits and enabling longitudinal data collection on daily activities and emotions. The platform enhances self-tracking adherence through gamification strategies. The project involves developing and evaluating novel diagnostic and prognostic methods through two trials with target groups where notable improvements are achievable and highly impactful: Trial for Elderly Heart Patients: reducing re-hospitalization among elderly heart patients to minimize health deterioration and healthcare costs. Trial at Cardiac Outpatient Clinics: lower costs and enhance the quality of heart disease diagnosis for individuals attending cardiac outpatient clinics. The foundation of the trials is twofold. Establishing a Robust Dataset: creating an interconnected dataset to evaluate digitalized techniques' performance in relation to health records. This dataset incorporates electrocardiography data, stethoscope audio recordings, wrist-worn device activity levels, electronic nose sensor data, and self-reported information via IoT technologies, including parameters like water consumption, sleep patterns, real-time feelings, physiological responses, and overall patient well-being. Employing this diverse dataset, STRAP develops innovative analysis and early diagnosis methods to advance heart disease detection and monitoring. Through these efforts, STRAP aims to implement advanced technologies and data-driven approaches to significantly impact heart disease management. 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.
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DOUBLE DOSE

2021
Cardiomyopathies, caused by genetic mutations affecting cardiac muscle components, pose significant economic and societal burdens due to their hereditary nature and early onset. Despite known genetic defects, predicting disease progression remains challenging due to extreme clinical variability. Recent research indicates that cardiomyopathy mutations induce metabolic stress, exacerbated by factors like obesity, which can accelerate disease progression. The Double Dose hypothesis suggests that targeting metabolic stress may offer preventive or curative strategies for these conditions. The Focus The Double Dose Consortium aims to understand how cardiomyopathy-causing mutations lead to structural changes in cardiomyocytes. This interdisciplinary effort combines experts in preclinical research, clinical genetics, health technology assessment, and clinical care focused on cardiomyopathy in both children and adults. The Research The consortium combines experts in preclinical research, clinical genetics, health technology assessment and clinical researchers with a strong clinical focus on cardiomyopathy in children and adults. These experts investigate how obesity and muscle adiposity contribute to vascular and cardiac muscle dysfunction in mutation carriers through the analysis of clinical data, patient samples, and experimental models. They will also study the mechanisms underlying ultrastructural changes in cardiomyocytes caused by these mutations, leading to impaired metabolism, contraction, relaxation defects, and disrupted cellular communication within the heart. Utilizing extensive patient cohorts and ongoing studies, the consortium aims to optimize care for cardiomyopathy patients by assessing the cost-effectiveness of diagnostics and clinical interventions. They plan to translate findings on metabolic alterations into clinical trials targeting treatments that reduce metabolic stress. The Double Dose program will establish biobanks containing serum, tissue, and induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) to provide mechanistic insights into cardiomyopathy pathophysiology and improve diagnosis and care. Origin This consortium was funded through the Impulse Grant program by the Dutch Heart Foundation, together with Stichting Hartedroom. The consortium is a continuation of the Dosis consortium, in which the interaction between mutation and external factors was investigated. They found that cardiomyopathy-mutations induce metabolic stress and that secondary metabolic stress, such as obesity accelerates disease progression.  
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