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Smart Implants for Life Enrichment

Project description

Data analysis for non-communicable disease risk detection

Non-communicable diseases (NCDs) such as osteoporosis, osteoarthritis, and frailty fractures impact health and independence in older adults. Preventing these conditions is crucial to reducing the need for long-term care. The EU-funded SmILE project aims to develop a methodology for early risk detection in elderly patients through health data analysis. By addressing the diverse needs of older individuals (including mental and physical abilities, living conditions, and socio-economic factors), it co-creates tailored solutions. SmILE will leverage AI-based patient analysis and integrate smart wearables and medical devices to monitor health, reducing the risks of frailty and re-fractures. Additionally, it will establish a platform to analyse multimorbid geriatric patient data, supported by a patient-centred governance model for health data management.

Objective

Non-Communicable Diseases (NCDs) e.g. osteoporosis, osteoarthritis, joint & ligament wear, frailty fractures and associated complications in elderly are a severe threat frequently leading to a permanent decline of the patient’s general health and autonomy. NCD prevention is highly relevant to reduce the need for long-term care. The economic burden is expected to increase by 65% from 2020 to 2040 with a strong negative impact on patient’s quality of life. SmILE will provide a cross-sectoral, early risk detection methodology by holistic analysis of elderly patients’ health data. Co-creation with end-users and consideration of diverse needs, mental and physical abilities, living and socio-economic conditions as well as life-situation of older people are implemented. This includes training and enhanced stream of information to patients and other stakeholders. It will offer an AI-based patient analysis, incl. integration of smart wearables and medical devices incl. implants to support monitoring of general health status. Our approach will disrupt the cycle of frailty by minimizing physical decline and risk of re-fractures. To enhance the AI functions, new data sources will be established by instrumenting medical devices, mainly implants, to augment them into monitoring and actively supporting devices. SMILE will: (1) develop an integrated platform to collect, centralize, manage, analyze and share multimorbid geriatric patient data using technology such as AI & machine learning; (2) establish a pan-European bottom-up model of good governance of health data being patient-centered and patient-controlled in line with current regulations; and (3) establish a solution driven by the needs of citizens and patients of old age. SMILE will establish a new approach of outcome-monitoring to provide patient centered, personalized and integrated treatment of elderly NCD patients to improve quality of life, enable real empowerment and ease the financial burden in an ageing society.

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Programme(s)

Topic(s)

Funding Scheme

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

(opens in new window) HORIZON-HLTH-2023-STAYHLTH-01

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Coordinator

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Net EU contribution
€ 1 686 472,54
Address
HANSASTRASSE 27C
80686 Munchen
Germany
Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
Links
Total cost
€ 1 686 472,54

Participants (25)

Partners (1)