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Patient and Public Involvement (PPI) is well-established in applied health research but remains under utilised in statistical methodology research due to perceived irrelevance and communication challenges. This paper summarises a one-day workshop held in February 2024 in Leicester, organised by the University of Leicester and the NIHR Statistics Group, aimed at addressing barriers to meaningful PPI in statistical methodology. The workshop brought together statisticians and experienced public contributors to discuss strategies, share case studies, and offer practical guidance on conducting effective PPI. Key barriers identified included: (1) uncertainty about the relevance of PPI in methodology-focused research; (2) public contributors' anxiety over mathematical complexity; and (3) mismatched expectations due to different backgrounds in applied versus methodological research. Case studies showcased how PPI led to improved model structures, identification of data issues, and enhanced study materials. The importance of communication was a recurrent theme, with recommendations including use of plain English, regular updates, and visual storytelling tools. Feedback from attendees indicated increased confidence and motivation to engage in PPI. Public contributors emphasised the need for respectful, non-patronising interactions and flexible roles within projects. Recommendations include managing expectations, enhancing accessibility, co-developing materials, and fostering diversity among contributors. This paper highlights the need for tailored strategies to integrate PPI into statistical methodology, including the development of resources (e.g., glossaries, animations) and further case study collection. Future work will focus on expanding these resources, addressing challenges of equity and inclusion, and supporting PPI in complex methodological areas like simulation and model development.
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http://dx.doi.org/10.1002/sim.70159 | DOI Listing |
BMC Oral Health
September 2025
Oral and Maxillofacial Radiology Department, Cairo university, Cairo, Egypt.
Aim: The purpose of this study was to assess the accuracy of a customized deep learning model based on CNN and U-Net for detecting and segmenting the second mesiobuccal canal (MB2) of maxillary first molar teeth on cone beam computed tomography (CBCT) scans.
Methodology: CBCT scans of 37 patients were imported into 3D slicer software to crop and segment the canals of the mesiobuccal (MB) root of the maxillary first molar. The annotated data were divided into two groups: 80% for training and validation and 20% for testing.
Biomed Phys Eng Express
September 2025
electrical engineering department, Indian Institute of Technology Roorkee, Research wing, electrical department, Roorkee, uttrakhand, 247664, INDIA.
Imagined speech classification involves decoding brain signals to recognize verbalized thoughts or intentions without actual speech production. This technology has significant implications for individuals with speech impairments, offering a means to communicate through neural signals. The prime objective of this work is to propose an innovative machine learning (ML) based classification methodology that combines electroencephalogram (EEG) data augmentation using a sliding window technique with statistical feature extraction from the amplitude and phase spectrum of frequency domain EEG segments.
View Article and Find Full Text PDFEur Radiol
September 2025
Department of Ultrasound, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
Objectives: To evaluate the predictive role of carotid stiffening, quantified using ultrafast pulse wave velocity (ufPWV), for assessing cardiovascular risk in young populations with no or elevated cardiovascular risk factors (CVRFs).
Materials And Methods: This study enrolled 180 young, apparently healthy individuals who underwent ufPWV measurements. They were classified into three groups: the CVRF-free group (n = 60), comprising current non-smokers with untreated blood pressure < 140/90 mmHg, fasting blood glucose (FBG) < 7.
Int J Health Care Qual Assur
September 2025
Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman, Iran.
Purpose: Neonatal mortality is a significant global health issue, particularly in low- and middle-income countries. This study aims to identify and understand the factors contributing to high neonatal mortality rates in the cities of Kerman and Bam, Iran, to develop effective strategies for improvement.
Design/methodology/approach: We employed systems dynamics to develop Causal Loop Diagrams that capture qualitative interactions among determinants of neonatal mortality.
Biotechnol Rep (Amst)
September 2025
Technical University of Munich, Germany, TUM Campus Straubing for Biotechnology and Sustainability, Bioprocess Engineering, Uferstraße 53, D-94315 Straubing, Germany.
Exopolysaccharides are biopolymers with wide-ranging industrial applications. To substitute fossil-based by bio-based, biodegradable polymers, exopolysaccharide production needs to become much more efficient. Pullulan, produced by , is popular for its unique properties like film-formation, adhesiveness, biodegradability, etc.
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