Outputs (40)

Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon (2023)
Journal Article
Memon, H., Gjerde, E., Lynam, A., Chowdhury, A., De Maere, G., Figueredo, G., & Hussain, T. (2024). Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. Engineering Applications of Artificial Intelligence, 128, Article 107465. https://doi.org/10.1016/j.engappai.2023.107465

The first-of-its-kind use of the active learning (AL) framework in thermal spray is adapted to enhance the prediction accuracy of the in-flight particle characteristics. The successful AL framework implementation via Bayesian Optimisation is benefici... Read More about Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon.

A comprehensive description of kidney disease progression after acute kidney injury from a prospective, parallel-group cohort study (2023)
Journal Article
Horne, K. L., Viramontes-Hörner, D., Packington, R., Monaghan, J., Shaw, S., Akani, A., Reilly, T., Trimble, T., Figueredo, G., & Selby, N. M. (2023). A comprehensive description of kidney disease progression after acute kidney injury from a prospective, parallel-group cohort study. Kidney International, 104(6), 1185-1193. https://doi.org/10.1016/j.kint.2023.08.005

Acute kidney injury (AKI) is associated with adverse long-term outcomes, but many studies are retrospective, focused on specific patient groups or lack adequate comparators. The ARID (AKI Risk in Derby) Study was a five-year prospective parallel-grou... Read More about A comprehensive description of kidney disease progression after acute kidney injury from a prospective, parallel-group cohort study.

Influence of setting-dependent contacts and protective behaviours on asymptomatic SARS-CoV-2 infection amongst members of a UK university (2023)
Journal Article
Fairbanks, E. L., Bolton, K. J., Jia, R., Figueredo, G. P., Knight, H., & Vedhara, K. (2023). Influence of setting-dependent contacts and protective behaviours on asymptomatic SARS-CoV-2 infection amongst members of a UK university. Epidemics, 43, Article 100688. https://doi.org/10.1016/j.epidem.2023.100688

We survey 62 users of a university asymptomatic SARS-CoV-2 testing service on details of their activities, protective behaviours and contacts in the 7 days prior to receiving a positive or negative SARS-CoV-2 PCR test result in the period October 202... Read More about Influence of setting-dependent contacts and protective behaviours on asymptomatic SARS-CoV-2 infection amongst members of a UK university.

The association between prescription drugs and vaccines commonly prescribed to older people and bullous pemphigoid: a UK population-based study (2023)
Preprint / Working Paper
Swiderski, M., Vinogradova, Y., Knaggs, R., Harman, K., Harwood, R., Prasad, V., Persson, M. S., Figueredo, G., Layfield, C., & Gran, S. The association between prescription drugs and vaccines commonly prescribed to older people and bullous pemphigoid: a UK population-based study

Introduction
Bullous pemphigoid (BP) is a serious skin disease that results in large painful blisters developing over the body and occurs most commonly in older people (over 70 years). Despite several comorbidities such as stroke and a threefold inc... Read More about The association between prescription drugs and vaccines commonly prescribed to older people and bullous pemphigoid: a UK population-based study.

Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates (2023)
Journal Article
Contreas, L., Hook, A. L., Winkler, D. A., Figueredo, G., Williams, P., Laughton, C. A., Alexander, M. R., & Williams, P. M. (2023). Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates. ACS Applied Materials and Interfaces, 15(11), 14155-14163. https://doi.org/10.1021/acsami.2c23182

Bacterial infections are increasingly problematic due to the rise of antimicrobial resistance. Consequently, the rational design of materials naturally resistant to biofilm formation is an important strategy for preventing medical device-associated i... Read More about Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates.

Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip (2023)
Journal Article
Vassey, M., Ma, L., Kämmerling, L., Mbadugha, C., Trindade, G. F., Figueredo, G. P., Pappalardo, F., Hutchinson, J., Markus, R., Rajani, S., Hu, Q., Winkler, D. A., Irvine, D. J., Hague, R., Ghaemmaghami, A. M., Wildman, R., & Alexander, M. R. (2023). Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip. Matter, 6(3), 887-906. https://doi.org/10.1016/j.matt.2023.01.002

To design effective immunomodulatory implants, innate immune cell interactions at the surface of biomaterials need to be controlled and understood. The architectural design freedom of two-photon polymerization is used to produce arrays of surface-mou... Read More about Innate immune cell instruction using micron-scale 3D objects of varied architecture and polymer chemistry: The ChemoArchiChip.

Deep Learning with Attention Mechanisms for Road Weather Detection (2023)
Journal Article
Samo, M., Mafeni Mase, J. M., & Figueredo, G. (2023). Deep Learning with Attention Mechanisms for Road Weather Detection. Sensors, 23(2), Article 798. https://doi.org/10.3390/s23020798

There is great interest in automatically detecting road weather and understanding its impacts on the overall safety of the transport network. This can, for example, support road condition-based maintenance or even serve as detection systems that assi... Read More about Deep Learning with Attention Mechanisms for Road Weather Detection.

Feature importance in machine learning models: A fuzzy information fusion approach (2022)
Journal Article
Rengasamy, D., Mase, J. M., Kumar, A., Rothwell, B., Torres, M. T., Alexander, M. R., Winkler, D. A., & Figueredo, G. P. (2022). Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing, 511, 163-174. https://doi.org/10.1016/j.neucom.2022.09.053

With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Although post-training feature importance approaches assist this interpreta... Read More about Feature importance in machine learning models: A fuzzy information fusion approach.

Clinical laboratory parameters and comorbidities associated with severity of coronavirus disease 2019 (COVID-19) in Kurdistan Region of Iraq (2022)
Journal Article
Ali, H. N., Ali, K. M., Rostam, H. M., Ali, A. M., Tawfeeq, H. M., Fatah, M. H., & Figueredo, G. P. (2022). Clinical laboratory parameters and comorbidities associated with severity of coronavirus disease 2019 (COVID-19) in Kurdistan Region of Iraq. Practical Laboratory Medicine, 31, Article e00294. https://doi.org/10.1016/j.plabm.2022.e00294

Background: The pandemic coronavirus disease (COVID-19) dramatically spread worldwide. Considering several laboratory parameters and comorbidities may facilitate the assessment of disease severity. Early recognition of disease progression associated... Read More about Clinical laboratory parameters and comorbidities associated with severity of coronavirus disease 2019 (COVID-19) in Kurdistan Region of Iraq.

The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review (2021)
Journal Article
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. (2021). The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health, 8(12), Article e27991. https://doi.org/10.2196/27991

Background: The number of self-monitoring apps for bipolar disorder (BD) is increasing. The involvement of users in human-computer interaction (HCI) research has a long history and is becoming a core concern for designers working in this space. The a... Read More about The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review.