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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PERFECT-FIT

2020
Smoking tobacco and physical inactivity are key preventable risk factors of cardiovascular disease (CVD). Perfect Fit aims to prevent CVD, promote well-being, and reduce healthcare costs, particularly targeting disadvantaged populations where smoking and physical inactivity are prevalent. The Research The project develops tailored, evidence-based, near real-time computer coaching for quitting smoking and enhancing PA. For every individual, a personal model is designed which generates personalized recommendations based on high-quality existing and newly collected data, and adapts to changing circumstances/progress (similar to a TomTom navigation system), using machine learning techniques and incorporating domain-specific expert knowledge (e.g. health behaviour change strategies). Virtual coaches (VCs) communicate advice in a motivating way that fits individuals’ persuasive communication styles. Perfect Fit integrates big-data science, sensor technology, and personalized real-time feedback to support smoking cessation and promote adequate physical activity (in both gym settings and daily life). The key questions of this study are: Which adaptivity is needed to create a robust, safe, and effective interaction between individuals and machines? How can we develop advanced data science methods and embed this in current smoking cessation and PA coaching practice? How do measurement modalities, feedback and communication affect individuals’ smoking status and PA? 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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ADMINISTER II

2024
Heart failure is an escalating global health challenge, affecting over 64 million people worldwide. Despite advancements in guideline-directed medical therapy (GDMT) that significantly reduce mortality and hospitalizations, many patients still do not receive optimal medication regimens or dosages. This gap in care highlights the need for innovative, collaborative approaches to improve treatment delivery and outcomes. The research The ADMINISTER I study demonstrated the potential of digital care solutions to enhance medication prescription accuracy and accelerate the time required to achieve GDMT. In real-world clinical practice, optimizing medications to meet GDMT standards is a complex and time-intensive process. It requires frequent monitoring, adjustments, and multiple visits to healthcare providers, posing a significant burden on both patients and clinicians. Building on this foundation, the ADMINISTER II consortium is a collaborative effort uniting multiple stakeholders, including healthcare providers, researchers, and (biomedical) engineers. This consortium aims to evaluate the impact of a cutting-edge digital care intervention designed to streamline medication optimization. By leveraging a robust remote monitoring infrastructure, this approach seeks to make the process more efficient, scalable, and accessible, while focusing on improving critical clinical outcomes. This collaborative digital intervention represents a transformative step toward patient care and offers hope for better heart failure management. Insights from ADMINISTER II could pave the way for the widespread adoption of innovative, integrated solutions, benefiting patients, caregivers, and healthcare systems worldwide. The ADMINISTER II consortium brings together the expertise of a leading Technical University, major referral hospitals, and a renowned academic center to deliver state-of-the-art digital care across a large nationwide hospital network. This unique synergy is pivotal to achieving the ambitious goals set by the Dutch Cardiovascular Alliance (DCVA): a 25% reduction in the cardiovascular burden by 2030. By integrating cutting-edge digital infrastructure with clinical excellence, the consortium aims to significantly lower hospitalizations and mortality rates. This partnership not only accelerates the adoption of innovative digital solutions but also ensures their effective implementation in diverse healthcare settings, marking a critical step toward transforming cardiovascular care on a national scale. The origin The ADMINISTER II is created after successful completion of the ADMINISTER I trial. The ADMINISTER I was fully funded by Amsterdam UMC and was a collaboration with Netherlands heart institute, UMC Utrecht, Rode Kruis hospital and CCN. The ADMINISTER II consortium will be on a larger scale; with a larger network and multiple funders.
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