Outputs (153)

The Bristol Bladder Trial: Five year outcomes in patients treated with neoadjuvant cabazitaxel and cisplatin chemotherapy for muscle invasive transitional cell carcinoma of the urinary bladder (2023)
Presentation / Conference Contribution

Background: Neoadjuvant cisplatin-based combination chemotherapy (NAC) improves survival in muscle invasive bladder cancer (MIBC). However, response rates and survival remain suboptimal. We sought to evaluate the efficacy of cabazitaxel with cisplati... Read More about The Bristol Bladder Trial: Five year outcomes in patients treated with neoadjuvant cabazitaxel and cisplatin chemotherapy for muscle invasive transitional cell carcinoma of the urinary bladder.

Applications of machine learning methods to assist the diagnosis of autism spectrum disorder (2023)
Book Chapter

Autism spectrum disorder (ASD) is a lifelong neuro-developmental disorder that is generally marked by a set of communication and social impairments. The early diagnosis of autism is genuinely beneficial for the welfare of children and parents as well... Read More about Applications of machine learning methods to assist the diagnosis of autism spectrum disorder.

Review of the partially overlapping samples framework: Paired observations and independent observations in two samples (2022)
Journal Article

A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. In our publications and R package, we refer to the scenario as ‘partially overlapping... Read More about Review of the partially overlapping samples framework: Paired observations and independent observations in two samples.

Vision-based approach for autism diagnosis using transfer learning and eye-tracking (2022)
Presentation / Conference Contribution

The potentials of Transfer Learning (TL) have been well-researched in areas such as Computer Vision and Natural Language Processing. This study aims to explore a novel application of TL to detect Autism Spectrum Disorder. We seek to develop an approa... Read More about Vision-based approach for autism diagnosis using transfer learning and eye-tracking.

Eye-tracking dataset to support the research on autism spectrum disorder (2022)
Presentation / Conference Contribution

The availability of data is a key enabler for researchers across different disciplines. However, domains, such as healthcare, are still fundamentally challenged by the paucity and imbalance of datasets. Health data could be inaccessible due to a vari... Read More about Eye-tracking dataset to support the research on autism spectrum disorder.

Learning embeddings from free-text triage notes using pretrained transformer models (2022)
Presentation / Conference Contribution

The advent of transformer models has allowed for tremendous progress in the Natural Language Processing (NLP) domain. Pretrained transformers could successfully deliver the state-of-the-art performance in a myriad of NLP tasks. This study presents an... Read More about Learning embeddings from free-text triage notes using pretrained transformer models.

Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins (2022)
Journal Article

The clustering of platelet glycoprotein receptors with cytosolic YxxL and YxxM motifs, including GPVI, CLEC-2 and PEAR1, triggers activation via phosphorylation of the conserved tyrosine residues and recruitment of the tandem SH2 (Src homology 2) dom... Read More about Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins.

BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam (2022)
Journal Article

Objective: Via measures of efficacy, tolerability, and safety, this open-label, single-center study assessed the overall effectiveness of Brivaracetam (BRV) for the treatment of epilepsy in the context of ‘real-world’ clinical practice. Methods: Unse... Read More about BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam.

Risk of disclosure when reporting commonly used univariate statistics (2022)
Presentation / Conference Contribution

When basic or descriptive summary statistics are reported, it may be possible that the entire sample of observations is inadvertently disclosed, or that members within a sample will be able to work out responses of others. Three sets of univariate su... Read More about Risk of disclosure when reporting commonly used univariate statistics.

A collaboratively-derived research agenda for e-assessment in undergraduate mathematics (2022)
Journal Article

This paper describes the collaborative development of an agenda for research on e-assessment in undergraduate mathematics. We built on an established approach to develop the agenda from the contributions of 22 mathematics education researchers, unive... Read More about A collaboratively-derived research agenda for e-assessment in undergraduate mathematics.

Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children (2022)
Journal Article

Background: Maternal depression is a major determinant of offspring mental health. Yet, little is understood about how the duration and timing of maternal depression shapes youth risk for depressive symptoms, which if understood could inform when bes... Read More about Testing lifecourse theories characterising associations between maternal depression and offspring depression in emerging adulthood: The Avon Longitudinal Study of Parents and Children.

Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions (2022)
Presentation / Conference Contribution

Students may arrive at an incorrect answer when answering a mathematical question due to several reasons, such as random errors, calculation errors or misreading the question. Such errors are sometimes referred to as Common Student Errors (CSEs).
Se... Read More about Correct for the wrong reason: Why we should know more about mathematical common student errors in e-assessment questions.

Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification (2022)
Journal Article

This article gives an overview of the interactive book called ‘Collection of Taxonomically Classified Mathematical Common Student Errors in e-Assessments (CSE Book)’ which has been produced as a result of the Common Student Errors Project (CSE Projec... Read More about Gathering and compiling mathematical common student errors in e-assessment questions with taxonomical classification.

Use of artificial intelligence to manage patient flow in emergency department during the COVID-19 pandemic: A prospective, single-center study (2022)
Journal Article

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, calculation of the number of emergency department (ED) beds required for patients with vs. without suspected COVID-19 represented a real public health problem. In France, Amiens Pic... Read More about Use of artificial intelligence to manage patient flow in emergency department during the COVID-19 pandemic: A prospective, single-center study.

Examining the epigenetic mechanisms of childhood adversity and sensitive periods: A gene set-based approach (2022)
Journal Article

Background: Sensitive periods are developmental stages of heightened plasticity when life experiences, including exposure to childhood adversity, have the potential to exert more lasting impacts. Epigenetic mechanisms, including DNA methylation (DNAm... Read More about Examining the epigenetic mechanisms of childhood adversity and sensitive periods: A gene set-based approach.

Medium term results of the cementless Oxford mobile bearing medial unicompartmental knee replacement (2022)
Journal Article

Abstract
Background
Medial Unicompartmental Knee Replacement (UKR) has well-documented benefits over Total Knee Replace-
ment in the treatment of anteromedial osteoarthritis of the knee. There has been an increasing move from cemented to
cementl... Read More about Medium term results of the cementless Oxford mobile bearing medial unicompartmental knee replacement.

Nasointestinal tube placement: Techniques that increase success (2022)
Journal Article

Background: Delayed gastric emptying (DGE) is a major cause of undernutrition that can be overcome using nasointestinal (NI) feeding, but tube placement often fails. We analyse which techniques enable successful NI tube placement. Methods: Efficacy o... Read More about Nasointestinal tube placement: Techniques that increase success.

Sensitive periods for the effect of childhood adversity on DNA methylation: Updated results from a prospective, longitudinal study (2022)
Journal Article

Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation (2022)
Presentation / Conference Contribution

Reporting the sample mean, sample standard deviation and sample size could in some cases lead to the unique identification of the underpinning sample. The likelihood of this reveal via direct enumeration of the possible search space decreases with i... Read More about Safety in numbers: Minimum thresholding, Maximum bounds and Little White Lies : The case of the mean and standard deviation.

Disclosure risks in odds ratios and logistic regression (2022)
Presentation / Conference Contribution

When publishing statistics from confidential data, there exists a risk that the statistic might inadvertently reveal confidential information. Statistical disclosure control (SDC) aims to reduce that risk to an acceptable level. Most SDC theory is co... Read More about Disclosure risks in odds ratios and logistic regression.