All Outputs (18)

A survey of deep-learning-based radiology report generation using multimodal inputs (2025)
Journal Article
Wang, X., Figueredo, G., Li, R., Zhang, W. E., Chen, W., & Chen, X. (2025). A survey of deep-learning-based radiology report generation using multimodal inputs. Medical Image Analysis, 103, Article 103627. https://doi.org/10.1016/j.media.2025.103627

Automatic radiology report generation can alleviate the workload for physicians and minimize regional disparities in medical resources, therefore becoming an important topic in the medical image analysis field. It is a challenging task, as the comput... Read More about A survey of deep-learning-based radiology report generation using multimodal inputs.

Lessons from the PROTECT-CH COVID-19 platform trial in care homes (2025)
Journal Article
Bath, P. M., Ball, J., Boyd, M., Gage, H., Glover, M., Godfrey, M., Guthrie, B., Hewitt, J., Howard, R., Jaki, T., Juszczak, E., Lasserson, D., Leighton, P., Leyland, V., Shen Lim, W., Logan, P., Meakin, G., Montgomery, A., Ogollah, R., Passmore, P., …Gordon, A. L. (2025). Lessons from the PROTECT-CH COVID-19 platform trial in care homes. Health Technology Assessment, https://doi.org/10.3310/MTRS8833

Background
Coronavirus disease-2019 was associated with significant mortality and morbidity in care homes in 2020–1. Repurposed antiviral drugs might reduce morbidity and mortality through reducing viral transmission, infection, replication and infl... Read More about Lessons from the PROTECT-CH COVID-19 platform trial in care homes.

The Five Safes RO-Crate: FAIR Digital Objects for Trusted Research Environments for Health Data Research (2025)
Presentation / Conference Contribution
Soiland-Reyes, S., Wheater, S., Giles, T., Couldridge, J., Quinlan, P., & Goble, C. (2025, March). The Five Safes RO-Crate: FAIR Digital Objects for Trusted Research Environments for Health Data Research. Presented at International FAIR Digital Objects Implementation Summit 2024, Berlin

Trusted Research Environments (TREs) are secure locations in which health and other sensitive data are placed and made available for researchers to analyse under strict controls. TRE’s in the UK operate under the Five Safes governance framework of sa... Read More about The Five Safes RO-Crate: FAIR Digital Objects for Trusted Research Environments for Health Data Research.

Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis (2025)
Journal Article
Aguilar-Bejarano, E., Özcan, E., Rit, R. K., Li, H., Lam, H. W., Moore, J. C., Woodward, S., & Figueredo, G. (2025). Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis. iScience, 28(3), Article 111881. https://doi.org/10.1016/j.isci.2025.111881

Optimization of metal-ligand asymmetric catalysts is usually done by empirical trials, where the ligand is arbitrarily modified, and the new catalyst is re-evaluated in the lab. This procedure is not efficient and alternative strategies are highly de... Read More about Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis.

High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS) (2025)
Journal Article
Meurs, J., Nasir, A., Figueredo, G. P., Burroughs, L., Abdelrazig, S. A., Denning, C., Winkler, D. A., Barrett, D. A., Kim, D. H., & Alexander, M. R. (2025). High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS). Analytical Chemistry, https://doi.org/10.1021/acs.analchem.5c01636

Biomaterials play an important role in medicine from contact lenses to joint replacements. High-throughput screening coupled with machine learning has identified synthetic polymers that prevent bacterial biofilm formation, prevent fungal cell attachm... Read More about High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS).

Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach (2024)
Journal Article
Liu, X., Figueredo, G. P., Gordon, G. S., & Thermou, G. E. (2025). Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach. Engineering Structures, 325, Article 119485. https://doi.org/10.1016/j.engstruct.2024.119485

Fabric Reinforced Cementitious Matrix (FRCM) is an effective intervention method for improving the shear strength of existing reinforced concrete (RC) beams, yet predictive analyses are scarce. This study introduces and compares nine machine learning... Read More about Data-driven shear strength prediction of RC beams strengthened with FRCM jackets using machine learning approach.

Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study (2024)
Journal Article
Bolton, K. J., Mendez-Villalon, A., Nanji, H., Jia, R., Ayling, K., Figueredo, G., & Vedhara, K. (2024). Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study. Mathematics in Medical and Life Sciences, 1(1), Article 2425096. https://doi.org/10.1080/29937574.2024.2425096

Aim: We use the Remote Assessment of Disease and Relapses platform (RADAR) to collect Bluetooth contact and location data from university students. We test the ability of this technology to objectively capture social interaction, explore the propensi... Read More about Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study.

The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project (2024)
Journal Article
Jefferson, E., Milligan, G., Johnston, J., Mumtaz, S., Cole, C., Best, J., Giles, T. C., Cox, S., Masood, E., Horban, S., Urwin, E., Beggs, J., Chuter, A., Reilly, G., Morris, A., Seymour, D., Hopkins, S., Sheikh, A., & Quinlan, P. (2024). The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project. Journal of Medical Internet Research, 26, Article e50235. https://doi.org/10.2196/50235

The COVID-19-Curated and Open Analysis and Research Platform (CO-CONNECT) project worked with 22 organizations across the United Kingdom to build a federated platform, enabling researchers to instantaneously and dynamically query federated datasets t... Read More about The Challenges and Lessons Learned Building a New UK Infrastructure for Finding and Accessing Population-Wide COVID-19 Data for Research and Public Health Analysis: The CO-CONNECT Project.

The association between drugs and vaccines commonly prescribed to older people and bullous pemphigoid: a case-control study (2024)
Journal Article
Swiderski, M., Vinogradova, Y., Knaggs, R. D., Harman, K., Harwood, R. H., Prasad, V., Persson, M. S. M., Figueredo, G., Layfield, C., & Gran, S. (2025). The association between drugs and vaccines commonly prescribed to older people and bullous pemphigoid: a case-control study. British Journal of Dermatology, 192(3), 440-449. https://doi.org/10.1093/bjd/ljae416

Background
Bullous pemphigoid (BP) is an autoimmune skin disease that affects mainly older people. Numerous drugs have been previously associated with BP based on case series and small hospital-based studies. More reliable and precise estimates of a... Read More about The association between drugs and vaccines commonly prescribed to older people and bullous pemphigoid: a case-control study.

Association between Nutritional Status Assessed by Body Mass Index and Crohn’s Disease Phenotype: A Nation-Wide Analysis (2024)
Journal Article
Ndzo, J., Vuyyuru, S. K., Trimble, T., Yan, K., Figueredo, G., & Moran, G. W. (2024). Association between Nutritional Status Assessed by Body Mass Index and Crohn’s Disease Phenotype: A Nation-Wide Analysis. Clinical Nutrition ESPEN, 64, 290-295. https://doi.org/10.1016/j.clnesp.2024.09.033

Background & Aims:

Incidence of obesity and Crohn’s disease (CD) is increasing globally. Therefore, understanding any associations between adiposity and disease phenotype is crucial. We aimed explore the relationship between nutritional status me... Read More about Association between Nutritional Status Assessed by Body Mass Index and Crohn’s Disease Phenotype: A Nation-Wide Analysis.

What's New in Dementia Risk Prediction Modelling? An Updated Systematic Review (2024)
Journal Article
Brain, J., Kafadar, A. H., Errington, L., Kirkley, R., Tang, E. Y. H., Akyea, R. K., Bains, M., Brayne, C., Figueredo, G., Greene, L., Louise, J., Morgan, C., Pakpahan, E., Reeves, D., Robinson, L., Salter, A., Siervo, M., Tully, P. J., Turnbull, D., Qureshi, N., & Stephan, B. C. M. (2024). What's New in Dementia Risk Prediction Modelling? An Updated Systematic Review. Dementia and Geriatric Cognitive Disorders Extra, 14(1), 49-74. https://doi.org/10.1159/000539744

Identifying individuals at high risk of dementia is critical to optimized clinical care, formulating effective preventative strategies, and determining eligibility for clinical trials. Since our previous systematic reviews in 2010 and 2015, there has... Read More about What's New in Dementia Risk Prediction Modelling? An Updated Systematic Review.

Utilising User Data from a Food-Sharing App to Evidence the "Heat-or-Eat" Dilemma (2024)
Presentation / Conference Contribution
Semple, T., Harvey, J., Rodrigues, L., Gillott, M., Figueredo, G., & Nica-Avram, G. (2024, May). Utilising User Data from a Food-Sharing App to Evidence the "Heat-or-Eat" Dilemma. Presented at 2nd Digital Footprints Conference: Linking Digital Data for Social Impact, Bristol, UK

Introduction & Background
Previous literature has found that financially vulnerable households often make involuntary spending trade-offs between necessities, particularly energy and food. This effect is especially pronounced during winter, when hom... Read More about Utilising User Data from a Food-Sharing App to Evidence the "Heat-or-Eat" Dilemma.

A SARS-CoV-2 minimum data standard to support national serology reporting (2024)
Journal Article
Urwin, E. N., Martin, J., Sebire, N., Harris, A., Johnson, J., Masood, E., Milligan, G., Mairs, L., Chuter, A., Ferguson, M., Quinlan, P., & Jefferson, E. (2024). A SARS-CoV-2 minimum data standard to support national serology reporting. Annals of Clinical Biochemistry, 61(6), 418-445. https://doi.org/10.1177/00045632241261274

Background: Healthcare laboratory systems produce and capture a vast array of information, yet do not always report all of this to the national infrastructure within the United Kingdom. The global COVID-19 pandemic brought about a much greater need f... Read More about A SARS-CoV-2 minimum data standard to support national serology reporting.

A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings (2024)
Journal Article
Cartwright, S., Rothwell, B. C., Figueredo, G., Medina, H., Eastwick, C., Layton, J., & Ambrose, S. (2024). A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings. Tribology International, 196, Article 109670. https://doi.org/10.1016/j.triboint.2024.109670

Traditional methods of evaluating the performance of journal bearings, for example thermal-elastic-hydrodynamic- lubrication theory, are limited to simplified conditions that often fail to accurately model real-world components. Numerical models that... Read More about A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings.

An empirical critique of the low income low energy efficiency approach to measuring fuel poverty (2024)
Journal Article
Semple, T., Rodrigues, L., Harvey, J., Figueredo, G., Nica-Avram, G., Gillott, M., Milligan, G., & Goulding, J. (2024). An empirical critique of the low income low energy efficiency approach to measuring fuel poverty. Energy Policy, 186, Article 114014. https://doi.org/10.1016/j.enpol.2024.114014

Fuel poverty is a complex socioenvironmental issue of increasing global significance. In England, fuel poverty is assessed via the Low Income Low Energy Efficiency (LILEE) indicator, yet concerns exist regarding the efficacy of this metric given its... Read More about An empirical critique of the low income low energy efficiency approach to measuring fuel poverty.

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.

Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease (2022)
Journal Article
Gonem, S., Taylor, A., Figueredo, G., Forster, S., Quinlan, P., Garibaldi, J. M., McKeever, T. M., & Shaw, D. (2022). Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease. Respiratory Research, 23, Article 203. https://doi.org/10.1186/s12931-022-02130-6

Background: The National Early Warning Score-2 (NEWS-2) is used to detect patient deterioration in UK hospitals but fails to take account of the detailed granularity or temporal trends in clinical observations. We used data-driven methods to develop... Read More about Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease.

Pan-cancer analysis reveals TAp63-regulated oncogenic lncRNAs that promote cancer progression through AKT activation (2020)
Journal Article
Napoli, M., Li, X., Ackerman, H. D., Deshpande, A. A., Barannikov, I., Pisegna, M. A., Bedrosian, I., Mitsch, J., Quinlan, P., Thompson, A., Rajapakshe, K., Coarfa, C., Gunaratne, P. H., Marchion, D. C., Magliocco, A. M., Tsai, K. Y., & Flores, E. R. (2020). Pan-cancer analysis reveals TAp63-regulated oncogenic lncRNAs that promote cancer progression through AKT activation. Nature Communications, 11, Article 5156. https://doi.org/10.1038/s41467-020-18973-w

The most frequent genetic alterations across multiple human cancers are mutations in TP53 and the activation of the PI3K/AKT pathway, two events crucial for cancer progression. Mutations in TP53 lead to the inhibition of the tumour and metastasis sup... Read More about Pan-cancer analysis reveals TAp63-regulated oncogenic lncRNAs that promote cancer progression through AKT activation.