Christoffer Nellåker

ORCID: 0000-0002-2887-2068 · 2 papers in corpus

qualitative 2023

Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis

SSM. Qualitative research in health ·doi:10.1016/j.ssmqr.2023.100240

Computational phenotyping (CP) technology uses facial recognition algorithms to classify and potentially diagnose rare genetic disorders on the basis of digitised facial images. This AI technology has a number of research as well as clinica…

meta-analysis 2020

Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits

PLoS computational biology ·doi:10.1371/journal.pcbi.1008044

Genetic studies have recently highlighted the importance of fat distribution, as well as overall adiposity, in the pathogenesis of obesity-associated diseases. Using a large study (n = 1,288) from 4 independent cohorts, we aimed to investig…