15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices (2021)
Conference Proceeding
Mitchell, J., De Quincey, E., Pantin, C., & Mustfa, N. (2021). 15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices.

Local point of care clinical guidelines exist in numerous formats and cover a variety of clinical information, normally created on a national and local level. They are generally available as basic web pages, PDFs or documents. Despite widespread avai... Read More about 15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices.

A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers (2020)
Conference Proceeding
Day, C. R., Chadwick, E. K., & Blana, D. (2020). A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. In 2020 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN48605.2020.9206772

Transhumeral amputation has a considerable detrimental effect on the amputee’s quality of life and independence. Previous work has already established the potential for exploiting proximal humerus myoelectric and kinematic signals for the effective c... Read More about A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers.

Reflections on the Doctoral Consortium (2020)
Conference Proceeding
Flint, T., Sim, G., Bond, R., Woolley, S., Dix, A., & Hall, L. (2020). Reflections on the Doctoral Consortium. . https://doi.org/10.14236/ewic/HCI20DC.2

This paper provides a reflective commentary on the British HCI Doctoral Consortium from the perspective of the Organising Committee. We discuss the approach to holding a Human Computer Interaction Doctoral Consortium in July 2020 and the outcomes. We... Read More about Reflections on the Doctoral Consortium.

Identification of differentially expressed lncrnas in metformin resistant SH-SY5Y neuroblastoma cells (2018)
Conference Proceeding
Bountali, K., Maarabouni, M., & Tonge, D. (2018). Identification of differentially expressed lncrnas in metformin resistant SH-SY5Y neuroblastoma cells. . https://doi.org/10.1136/esmoopen-2018-EACR25.861

Abstract
Introduction Of the total human DNA only 1.2% o codes for proteins, with the rest only being transcribed into regulatory RNA, known as non-coding RNA. Long non-coding RNAs (lncRNAs) are non-coding RNAs that have no or limited protein-coding... Read More about Identification of differentially expressed lncrnas in metformin resistant SH-SY5Y neuroblastoma cells.

Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer (2017)
Conference Proceeding
Butcher, J. B., Rutter, A. V., Wootton, A. J., Day, C. R., & Sulé-Suso, J. (2017). Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer. In Advances in Computational Intelligence Systems (183-190). https://doi.org/10.1007/978-3-319-66939-7_15

Lung cancer is a widespread disease and it is well understood that systematic, non-invasive and early detection of this progressive and life-threatening disorder is of vital importance for patient outcomes. In this work we present a convergence of fa... Read More about Artificial Neural Network Analysis of Volatile Organic Compounds for the detection of lung cancer.