Clinical trials

The DORA study is a single-arm, open-label, interventional exploratory study designed to evaluate the impact of a synbiotic-containing senior milk powder on the gut microbiome and selected biological, physiological, and digital health parameters in community-living adults in good health. The study enrolls adults aged 40 to 65 years and aims to investigate changes in gut microbial composition, with a primary focus on butyrate-producing microbial taxa, following at least 28 days of study product consumption. Secondary and exploratory objectives include assessment of stool metabolites, blood-based biomarkers, bowel patterns, sleep quality, physical activity, cognitive function, dietary patterns, and quality of life. Approximately 125 participants will be recruited in Singapore to achieve 100 study completers. Following informed consent and screening, participants undergo a baseline observation period of 14 days during which physiological and lifestyle data are collected using wearable digital health devices. Baseline assessments also include blood sampling, stool collection for microbiome analysis, digital imaging and videography, and completion of validated questionnaires. After completion of baseline assessments and collection of the first stool sample, participants initiate consumption of the study product, a senior milk powder containing a defined synbiotic formulation. The study product is consumed twice daily for a minimum of 28 days and up to 35 days to allow completion of study assessments. Participants return for end-of-intervention assessments following the study product phase, including repeat biological sampling, physical and digital assessments, and questionnaires. Stool microbiome profiles and other exploratory outcomes are compared between baseline and post-intervention time points. This exploratory study is intended to generate feasibility data and hypotheses regarding the effects of synbiotic nutritional intervention and the integration of biological and digital health data in the context of healthy aging.

The NEST study is a prospective, observational research study designed to collect clinical measurements and image data to develop and evaluate artificial intelligence (AI)-derived algorithms for estimating anthropometric parameters in neonates and young infants. The study focuses on infants from birth up to 6 months of age and aims to assess the accuracy of AI-based estimations of length, weight, and head circumference using photographs and/or video recordings captured during routine clinical care. These AI-derived measurements will be compared against standard clinical measurements obtained by trained healthcare professionals in neonatal and infant care settings.