Projects

Extensible single cell analysis pipelines for reproducible and large-scale single cell processing using Viash and Nextflow. These pipelines are built using the Viash framework on top of the nextflow workflow system.

Simple, scalable, and open-source data infrastructure supporting scientific discovery and insight.

This paper presents the development of a machine learning algorithm that accurately classifies the ‘view’ of cardiac magnetic resonance imaging (CMR) images, achieving near human expert-level performance with the EfficientNet-B5 architecture, potentially forming the basis for future AI solutions in cardiac diagnosis.

This is a nextflow-based pipeline built to identify causative variants in subjects disease phenotype, based on their exome and phenotype.

This website allows geneticists to evaluate the data generated by ExomePipe against their own knowledge, and information from reference databases, in order to autogenerate reports on causative variants.

This project aims to improve the mental health of users, using positive and self-affirmation. Research indicates that the positive affirmation of users ‘good’ thoughts and opinions can lead to a more positive mental outlook. This decreases their stress, increases well being, improves academic performance, and can improve openess to behavioural change.

Problems with posture arise because of upper and lower back problems, but the current technologies only focus on one of these, and so we decided to use an accelerometer and flex sensor to measure both of these to prevent both kinds of back pain with a single device. The results are shows in an iOS application which is sent the data via Bluetooth.