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Home / 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

Real-world data and AI to enable tailored-made care for patients with COPD and comorbid complex chronic conditions (CCCs)

Over the course of four years (2021-2025), RE-SAMPLE will work to transform the healthcare journey of patients with Chronic Obstructive Pulmonary Disease (COPD) and comorbidities, and to set a standard of care for patients suffering from complex chronic conditions.

Using Artificial Intelligence (AI), 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 will help patients and their doctors make treatment and lifestyle changes in time to reduce serious complications. One of the 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.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 965315

Principal Investigator: Prof. Luca Richeldi

Budget: € 690.625 Duration: March 2021 – February 2025

Website: www.re-sample.eu

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