Christoffer Nellåker

Research Fellow, Nuffield Department of Obstetrics and Gynaecology

Rare diseases are individually rare but collectively very common. It is estimated that one in seventeen people have some type of rare disease. Clinicians frequently look for characteristic changes in facial features to help find a diagnosis.

Dr. Nellåker’s group is translating the latest developments in computer vision and computational biology to aid diagnosis of rare diseases. The work is a collaborative effort to apply the latest techniques from facial recognition research for disease phenotyping. The aim is to bring this to clinical use to help narrow down the search for a correct diagnosis and to be used together with genome sequencing to identify mutations causing disease.

Key publications

Diagnostically relevant facial gestalt information from ordinary photos.
Journal article

Ferry Q. et al, (2014), eLife, 3

Recent publications

Towards Deep Cellular Phenotyping in Placental Histology
Conference paper

Ferlaino M. et al, (2018)
De Novo and Inherited Loss-of-Function Variants in TLK2: Clinical and Genotype-Phenotype Evaluation of a Distinct Neurodevelopmental Disorder.
Journal article

Reijnders MRF. et al, (2018), American journal of human genetics
PURA syndrome: clinical delineation and genotype-phenotype study in 32 individuals with review of published literature.
Journal article

Reijnders MRF. et al, (2018), Journal of medical genetics, 55, 104 - 113
Mining faces from biomedical literature using deep learning
Conference paper

Dawson M. et al, (2017), ACM-BCB 2017 - Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 562 - 567
Clinical and molecular consequences of disease-associated de novo mutations in SATB2.
Journal article

Bengani H. et al, (2017), Genetics in medicine : official journal of the American College of Medical Genetics, 19, 900 - 908

More publications