Projects
Finished projects
RE-SAMPLE
RE-SAMPLE - REal-time data monitoring for Shared, Adaptive, Multi-domain and Personalised prediction and decision making for Long-term Pulmonary care Ecosystems
WHY
In Europe alone, an estimated 4 to 10 per cent of the population suffers from Chronic Obstructive Pulmonary Disease (COPD). It is a progressive lung condition that significantly impacts patients’ quality of life and life expectancy. Patients with COPD often require various treatment approaches to relieve their respiratory (e.g., shortness of breath, coughing) and non-respiratory (e.g., fatigue) symptoms, as well as other accompanying conditions (e.g., diabetes, cardiovascular diseases, mental health issues).
WHAT
Main objectives
empower patients with COPD and CCCs in self-care by developing a multidisciplinary, adaptive virtual companionship programmedrive structural change in healthcare together with patients, healthcare professionals, scientists, policy makers, and industry
Over the course of four years (2021-2025), RE-SAMPLE will work to transform the healthcare journey of patients with COPD, and to set a standard of care for patients suffering from complex chronic conditions (CCC).
RE-SAMPLE will use real-world data (RWD) to monitor COPD symptoms beyond scheduled medical check-ups. Such information will give doctors, caregivers and patients a unique insight into common, day-to-day triggers that can lead to health complications.
The data and analyses will feed into the development of personalised treatment and a virtual companionship programme.
RE-SAMPLE aims to mitigate the severity of complications and reduce their frequency. Our hope is that RE-SAMPLE’s approach to integrated care will help patients feel safer in-between medical visits, and equally, that patients are involved meaningfully in the management of their care.
HOW
Using Artificial Intelligence, RE-SAMPLE hopes to gain unique insights into the complex relationships between patients’ clinical and non-clinical characteristics, and how these impact disease progression, mental wellbeing, and physical health. The data and analyses will also serve as a basis for predictive models that could help patients and their doctors make treatment and lifestyle changes in time to reduce serious complications.
To ensure that we can gather quality data and that our system truly fits the needs of patients, RE-SAMPLE will rely on inclusive design and a citizen science approach.
Meaningful collaboration with citizens cannot be achieved without trust. One of our project’s hallmarks is the early integration of security and privacy settings across all technical (the system itself will be designed from this perspective) and non-technical (the project will adhere to rigorous ethical and data protection standards) aspects of RE-SAMPLE.
Expected impact
Accurate predictions of CCC exacerbations, more exacerbations are prevented or timely treatedEarlier initiation of appropriate treatment resulting in less severe CCC exacerbations, accelerated recovery, and reduced healthcare utilisationPrivacy-preserving artificial intelligence, previously reserved for research purposes only, in healthcare applicationA digital transformation of healthcare by equally empowering technology, healthcare provider and patientIncorporation of evidence-based interventions and personalised treatment approaches within clinical guidelinesEnhanced care delivery substitution from secondary to home-based supportIncreased transparency and accountability for cross-border health data exchange
WHO
The RE-SAMPLE project consortium reflects its multidisciplinary approach by bringing together partners specialising in respiratory medicine, artificial intelligence, RWD, privacy, ethics, data protection, and health policy.
WHY
In Europe alone, an estimated 4 to 10 per cent of the population suffers from Chronic Obstructive Pulmonary Disease (COPD). It is a progressive lung condition that significantly impacts patients’ quality of life and life expectancy. Patients with COPD often require various treatment approaches to relieve their respiratory (e.g., shortness of breath, coughing) and non-respiratory (e.g., fatigue) symptoms, as well as other accompanying conditions (e.g., diabetes, cardiovascular diseases, mental health issues).
WHAT
Main objectives
empower patients with COPD and CCCs in self-care by developing a multidisciplinary, adaptive virtual companionship programmedrive structural change in healthcare together with patients, healthcare professionals, scientists, policy makers, and industry
Over the course of four years (2021-2025), RE-SAMPLE will work to transform the healthcare journey of patients with COPD, and to set a standard of care for patients suffering from complex chronic conditions (CCC).
RE-SAMPLE will use real-world data (RWD) to monitor COPD symptoms beyond scheduled medical check-ups. Such information will give doctors, caregivers and patients a unique insight into common, day-to-day triggers that can lead to health complications.
The data and analyses will feed into the development of personalised treatment and a virtual companionship programme.
RE-SAMPLE aims to mitigate the severity of complications and reduce their frequency. Our hope is that RE-SAMPLE’s approach to integrated care will help patients feel safer in-between medical visits, and equally, that patients are involved meaningfully in the management of their care.
HOW
Using Artificial Intelligence, RE-SAMPLE hopes to gain unique insights into the complex relationships between patients’ clinical and non-clinical characteristics, and how these impact disease progression, mental wellbeing, and physical health. The data and analyses will also serve as a basis for predictive models that could help patients and their doctors make treatment and lifestyle changes in time to reduce serious complications.
To ensure that we can gather quality data and that our system truly fits the needs of patients, RE-SAMPLE will rely on inclusive design and a citizen science approach.
Meaningful collaboration with citizens cannot be achieved without trust. One of our project’s hallmarks is the early integration of security and privacy settings across all technical (the system itself will be designed from this perspective) and non-technical (the project will adhere to rigorous ethical and data protection standards) aspects of RE-SAMPLE.
Expected impact
Accurate predictions of CCC exacerbations, more exacerbations are prevented or timely treatedEarlier initiation of appropriate treatment resulting in less severe CCC exacerbations, accelerated recovery, and reduced healthcare utilisationPrivacy-preserving artificial intelligence, previously reserved for research purposes only, in healthcare applicationA digital transformation of healthcare by equally empowering technology, healthcare provider and patientIncorporation of evidence-based interventions and personalised treatment approaches within clinical guidelinesEnhanced care delivery substitution from secondary to home-based supportIncreased transparency and accountability for cross-border health data exchange
WHO
The RE-SAMPLE project consortium reflects its multidisciplinary approach by bringing together partners specialising in respiratory medicine, artificial intelligence, RWD, privacy, ethics, data protection, and health policy.
Biomedical Signals and Systems | Data Science | Health | Medical physiology & E-Health technology | Personalised Health Technology
Personalized eHealth Technology
It becomes more and more evident that the current approach to healthcare is not sustainable, especially when considering the increasing volume and demands of chronic diseases, requiring a rethinking of strategies towards innovative solutions. The use of Information and Communication Technologies in healthcare – eHealth – is a promising strategy to improve healthcare worldwide.
Biological (e.g. genetic pre-disposition), behavioral (e.g. lifestyles) and environmental (e.g. physical and social context) factors influence the surge and progression of chronic diseases. eHealth also allows to target this challenge of diversity, for example, by providing personalized solutions adaptable to each user, and also to changes over time. Every individual, dealing with any specific condition presents a distinctly unique case, highlighting the need for Personalized eHealth Technology.
Biological (e.g. genetic pre-disposition), behavioral (e.g. lifestyles) and environmental (e.g. physical and social context) factors influence the surge and progression of chronic diseases. eHealth also allows to target this challenge of diversity, for example, by providing personalized solutions adaptable to each user, and also to changes over time. Every individual, dealing with any specific condition presents a distinctly unique case, highlighting the need for Personalized eHealth Technology.
Biomedical Signals and Systems | Health | Healthtech in society | Medical physiology & E-Health technology