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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.

In the Netherlands, there are 250,000 patients with heart failure. Half of these patients die within five years. The best treatment: a donor heart. But: there is a great shortage of these. The Holland Hybrid Heart consortium is therefore working on an alternative: a robot heart, made of soft materials. The research We envision the treatment of patients with heart failure (HF) in such a way that the survival and quality of life of HF patients drastically increases. We aim to achieve this by developing a unique bioinspired total artificial heart that integrates soft robotics and tissue engineering (TE). In the long term, we foresee that this pioneering technology allows us to develop and bring to the clinic a full set of artificial motile organs and tissues that seamlessly integrate with the human body. This will be possible as the novel and exciting technologies underlying the artificial heart developed in this project - soft robotics and in situ TE - can be used to generate a broad range of artificial motile organs such as muscle structures (e.g., limbs), bowels or lungs: The motility and flexibility in shape and size of soft robots make them suitable for mimicking motile organs. Actuators can be embedded within the elastomeric matrix of these robots without compromising their malleable properties. In addition, embodied intelligence provides direct feedback on shape and force, enabling natural behaviour. Biocompatibility of these artificial organs is provided by TE inside the body (in situ) using biodegradable coatings or scaffolds. Such TE scaffolds are cell-free synthetic bio-resorbable implants or linings that can recruit or interact with cells from the bloodstream, leading to gradual replacement of the scaffold by fully endogenous, and thus biocompatible, tissue. Importantly, the cell-free and thus off-the-shelf availability of these scaffolds avoids the high costs and complex logistics inherent to pre-implantation in vitro TE. The Holland Hybrid Heart (HHH) consortium will push the development of these newly emerging technologies forward and combines soft robotics and in situ TE to generate the first biocompatible, soft actuated heart. This project will deliver Proof-of-Principle for full in vivo cardiac functionality of the artificial HHH in large animals. If successful, the HHH will be available for translation to the clinic as an effective treatment for advanced HF in patients and a valid alternative for moderately effective current HF therapies. This is a quantum leap forward in the treatment of HF. Origin A photo in the newspaper inspired Rotterdam heart specialist Jolanda Kluin to develop a robot heart. Kluin immediately contacted the interviewee in the article, Bas Overvelde, head of the Soft Robotic Matter group at Amolf, which develops soft robots. Could he perhaps also make a heart using soft robot techniques? Overvelde believed in it and a collaboration was born. Five years ago, they received a European subsidy of more than 3 million euros. This grant started the previous EU consortium, the EU Hybrid Heart. Last December (2023), Kluin received another 11 million euros from the Dutch government to continue the Holland hybrid heart project. The Holland Hybrid Heart has pivoted to meet the demands of that new grant and now only contains 15 Dutch consortium partners. The consortium is funded by NWA-ORC and the Dutch Heart Foundation. In-kind contributions are also provided by the DCVA, the Dutch Heart Foundation, TrailBlazers, SBMC, EVOS and EE-Labels. The executing academic partners are Erasmus MC, Amolf, TU Eindhoven, University of Twente, TU Delft and Saxion Applied University. This research is driven by patient needs and the Harteraad and Stichting Pulmonale Hypertensie will provide the connections to these patients.