Nightingale’s technology is routinely used in world-class epidemiological and genetic studies. There are over 450 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
Bizzarri et al. Bioinformatics. 2022 Jun 13;38(15):3847–9
Boone et al. American Journal of Epidemiology, Volume 191, Issue 5, May 2022, Pages 886–899
Middleton et al. 2022. Nucleic Acids Research, Volume 50, Issue 8, 6 May 2022, Pages 4289–4301
Ibi et al. 2022. Journal of Lipid Research, Volume 63, Issue 5, 100193
Mäkinen et al. Int J Epidemiol. 2022 Apr 20:dyac062
Melnes et al. Nutr Metab Cardiovasc Dis. 2022 Apr 5:S0939-4753(22)00148-X
Palmu et al. J Hypertens. 2021.
Zarzar et al. Front Radiol. 2022;2:782864.
Talmor-Barkan et al. Nat Med. 2022 Feb;28(2):295-302