MD.20.003 – Non-invasive biomarker approaches to support personalised preventive health care

Route: Measuring and detecting: anything, anytime, anywhere

Cluster question: 095 How can we personalise health care, for example by using biomarkers?

Unhealthy life style, chronic diseases, social and working atmosphere all have a clear impact on quality of life, life expectancy and population health differences. Preventive health care is therefore increasingly recognized to secure citizen’s health at individual level. For this, robust methods to detect and measure early predictive biomarkers of disease are highly needed. Our objective is to select and validate non-invasive approaches, i.e. saliva, tears, for biomarker analyses that are indicative of an individual’s health in view of inherited, life style or environmental-related conditions. Initially we will focus on disease-related conditions such as metabolic syndrome, for which biomarkers in saliva have already been identified. This initiative will also consider acceptance of methods, smart data usage (including AI), translation to point-of-care tests, ethics of personal data and provide initial and post-initial education for professionals. The current initiative is from several Universities of Applied Sciences (UAS), united in a SIA-platform Applied Sciences, but the aim is to collaborate with existing and other interested partners (e.g. ACTA, Utrecht University-IRAS and TNO) and PPPs (e.g. ORANGEhealth). Notably, UAS provide direct access to professional practice (e.g. dental care), SMEs and citizens, e.g. via in-house clinics (HU klinieken) and local community-oriented health check programs. Ultimately, our initiative aims to contribute to personalized preventive measures in lifestyle and living environment for general health and thus to increased quality of life, health equality and life expectancy.

Keywords

non invasive biomarkers, preventive health care

Other organisations

Hogeschool Leiden, SIA platform Applied Sciences

Submitter

Organisation Hogeschool Utrecht
Name Prof. dr. R. (Raymond) Pieters
E-mail raymond.pieters@hu.nl
Website https://www.hu.nl/onderzoek/onderzoekers/raymond-pieters