Human studies are crucial to research. You can be part of our research.
At the Quadram Institute, we run, support and promote human studies learning more about human health. Studies are often based at our purpose-built Clinical Research Facility and can involve our partners the Norfolk and Norwich University Hospital and University of East Anglia.
The NIHR Norfolk Clinical Research Facility is a NHS-governed facility and undertakes clinical research in compliance with the International Conference on Harmonisation-Good Clinical Practice; the UK Policy Framework for Health and Social Care Research, the Medicines for Human Use (Clinical Trials) Regulations 2004, and the Human Tissue Act 2004.
Quadram Institute Bioscience Human Studies
Join our Participant Database
If you’re interested in becoming a participant in studies conducted by Quadram Institute Bioscience, and live in the Norfolk area, join our participants database by downloading, completing and returning the participants’ database form.
Once on the database, if you potentially qualify for any study, we will send you details along with details on how to apply to participate. There is no obligation to take part and you can be removed from the database at any time.
Depending on the number of studies being conducted and the study inclusion criteria it is possible there may be long periods where you may not hear from us.
Below are studies currently looking for participants to take part. You can find out more about these studies below.
We are looking for vegan or vegetarian woman, at least 18 years old, live within 40 miles of Norwich and in good health to take part in the HARVEST Study. The HARVEST study is investigating the use of hydroponically-grown, biofortified salad greens, and use of a dietary app, to improve micronutrient status
Recruitment is currently paused for this study but a new round of recruitment is coming soon. The study involves healthy individuals, aged 18+ with a BMI between 18 – 30 kg/m2 to take part in the GlyCarb Remote Study to understand how different carbohydrate-rich meals affect blood sugar levels.