Nightingale’s technology is routinely used in world-class epidemiological and genetic studies. There are over 350 publications that have utilized our technology. If you are interested in using our technology for medical research, visit our website for researchers here.

All Ageing Bioinformatics Cancer Cardiovascular diseases Drug development Fatty liver disease Gut microbiota Human genetics Kidney disease Maternal health Metabolic risk factors Method description Neurological diseases Nutrition T1D T2D
Couto et al. International Journal of Obesity 2017;41:1331–40
Gillberg et al. Journal of Machine Learning Research 2016;17(1):4170-204
Valcárcel et al. Journal of the Royal Society Interface 2014;11(94):20130908
White et al. Diabetologia 2017;60(10):1903-12
Mäkinen et al. Metabolomics 2012;8(3):369-75
Fizelova et al. The Journal of Clinical Endocrinology & Metabolism 2017;102(9):3600–09
Skotte et al. Circulation: Cardiovascular Genetics 2017;10(3):e001618
Würtz et al. American Journal of Epidemiology 2017;186(9):1084–96