Join us on the journey for a healthier you. Participate in our applied human research to understand your body and contribute to science!
Get your free assessments by volunteering in our studies as listed below.
The ABIOS study aims to understand how ethnicity, and lifestyles affect biological age in young, middle-aged, and older adults. We will recruit Singaporeans of all ethnicities to participate in this research study. Cardiovascular, epigenetic, and physiological parameters of ageing will be measured to compare biological age in these participants.
We are actively recruiting Indian and Malay Participants aged 45 and above.
For more information, click here (310KB, PDF)
Interested participants, contact us.
Alpha-ketoglutarate (AKG), a nutritional supplement, has been shown to increase healthspan and lifespan in many pre-clinical models. The ABLE study will recruit middle-aged participants and investigate whether 6 months of daily AKG supplementation slows biological age, compared with a placebo control.
We are actively recruiting Participants who are between the age 40 - 60 years old.
For more information here (244KB, PDF)
REjuvenate SenescenT hallmarks of Older adults through Regular Exercise (RESTORE)
The RESTORE study investigates whether regular exercise based on the World Health Organization (WHO) guidelines influences biological ageing in an inactive cohort of middle-aged adults. Participants will engage in 3 months of aerobic exercise training, and have their biological age measured before, and after the intervention. The administered tests will comprise cardiovascular, epigenetic, and physiological parameters of ageing.
Personalizing Exercise for Enhanching Healthspan: Using Artificial Intelligence for N-of-1 exercise prescription (N-of-1)
The N-of-1 study aims to prescribe the optimal exercise intensity for young and middle-aged adults. Participants will perform bouts of aerobic exercise at different intensities (Low, Moderate, High). Physiological and biochemical biomarkers will be measured before and after each exercise. Artificial intelligence will be utilized to prescribe the optimal exercise intensity for each individual subject.
More information will be released in due time.