Genomic & Clinical Data Analysis

Decision Support Systems for rare diseases.

Our lab is interested in the analysis of health care data to provide personalised care. We jointly analyse genetics, medical imaging and text data to develop decision support systems for diagnosis, prognosis and treatment. Our focus has mostly been on rare eye diseases but our methodology is widely applicable to rare genetic diseases.

Our lab currently works across the following organisations:

Rare Eye Disease Research

Rare eye diseases are a leading cause of blindness in children and young adults in the UK. These include diseases affecting the retina, the light-sensitive tissue at the back of the eye, or the cornea, the transparent tissue at the front of the eye that focuses light. Patients with rare eye diseases are a vulnerable population with a decreased quality of life. This is often because they are diagnosed late, not adequately treated or followed-up. Our lab's research aims to improve diagnosis, prognosis, treatment and care of these patients by developing software to enable healthcare professionals to detect disease faster and make patient-centred decisions about their treatment and care.

Research Projects


Decision support systems for genetic diagnosis of inherited retinal diseases.


Decision support systems for keratoconus and other corneal ectasias.

Phenopolis Genomic Browser

A genetic browser than integrates with the Human Phenotype Ontology.


Creating Synthetic Retinal Image Augmentations using Generative Adversarial N...

Hierarchical Tissue Segmentation

Using a hierarchical probabilistic framework to identify retinal tissue layers

Medical Image Quality Metrics for Retinal Scans

Automatically assessing the quality of retinal scans


Detection of subclinical keratoconus from corneal imaging


Decoding binary files to extract medical imaging data


Extracting genetic information from clinical notes

Our Team

We are always eager for hard-working & motivated people to come and work with us.

If you're interested in joining us, please send Nikolas Pontikos a quick email with a CV and personal statement