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Prospective real world data evaluation of clinical outcomes in metastatic hormone sensitive prostate cancer (MHSPC) patients treated as part of triplet therapy with darolutamide: UK multicenter RECOMMEND study (2025)
Journal Article

89 Background: Darolutamide has authorisation for treatment of metastatic hormone sensitive prostate cancer (MHSPC) in combination with docetaxel chemotherapy and androgen deprivation therapy (triplet therapy) based on ARASENS trial results. The RECO... Read More about Prospective real world data evaluation of clinical outcomes in metastatic hormone sensitive prostate cancer (MHSPC) patients treated as part of triplet therapy with darolutamide: UK multicenter RECOMMEND study.

Body image and appearance distress among military veterans and civilians with an injury-related visible difference: A comparison study (2025)
Journal Article

Injuries sustained during military conflict can significantly impact appearance. Yet, little is known about the psychosocial experiences of veterans with conflict-related appearance-altering injuries (AAI) and whether current civilian interventions a... Read More about Body image and appearance distress among military veterans and civilians with an injury-related visible difference: A comparison study.

Recurrence resonance and 1/f noise in neurons under quantum conditions and their manifestations in proteinoid microspheres (2025)
Journal Article

Recurrence resonance (RR), in which external noise is utilized to enhance the behaviour of hidden attractors in a system, is a phenomenon often observed in biological systems and is expected to adjust between chaos and order to increase computational... Read More about Recurrence resonance and 1/f noise in neurons under quantum conditions and their manifestations in proteinoid microspheres.

Examining neural networks through architectural variation analysis for image classification (2025)
Presentation / Conference Contribution

This paper presents a method for examining neural networks in image classification through architectural variation analysis. Small-scale experiments generate initial insights, and the configurations are further tested on entire datasets. The newly pr... Read More about Examining neural networks through architectural variation analysis for image classification.

Preservice teachers learning to teach reading using one-to-one tutoring: Does learning ‘stick’ for tutees and tutors? (2025)
Journal Article

Teaching reading is a key element of initial teacher education programmes in England. This study contributes to the research about the most effective way to ensure preservice teachers have the necessary skills and knowledge to teach reading. One-to-o... Read More about Preservice teachers learning to teach reading using one-to-one tutoring: Does learning ‘stick’ for tutees and tutors?.

Preservice teachers learning to teach reading using one-to-one tutoring: Does learning 'stick' for tutees and tutors? (2025)
Journal Article

Teaching reading is a key element of initial teacher education programmes in England. This study contributes to the research about the most effective way to ensure preservice teachers have the necessary skills and knowledge to teach reading. One-to-o... Read More about Preservice teachers learning to teach reading using one-to-one tutoring: Does learning 'stick' for tutees and tutors?.

A comic-based body image intervention for adolescents in semi-rural Indian schools: A randomised controlled trial (2025)
Journal Article

Adolescents in India experience body dissatisfaction and its associated adverse impacts on physical and mental health and gender equality. However, evidence-based interventions are scarce. Mental health interventions worldwide have traditionally reli... Read More about A comic-based body image intervention for adolescents in semi-rural Indian schools: A randomised controlled trial.

"My body is amazing from the bottom to the top" - An RCT study testing two positive body image media micro-interventions for young children aged 4-6 years (2025)
Journal Article

This study presents a fully powered RCT testing the effectiveness and acceptability of two positive body image online media-based micro-interventions designed for young children. A total of 439 children aged 4-6 years were randomised into one of four... Read More about "My body is amazing from the bottom to the top" - An RCT study testing two positive body image media micro-interventions for young children aged 4-6 years.

Accepting your Body after Cancer (ABC), a group-based online intervention for women treated for breast cancer: Study protocol for a feasibility randomised controlled trial (2025)
Journal Article

Introduction Breast cancer is the most common cancer among women worldwide. While increasing numbers of women are living beyond breast cancer, treatment-related body image concerns are common and associated with adverse consequences. Nonetheless, rig... Read More about Accepting your Body after Cancer (ABC), a group-based online intervention for women treated for breast cancer: Study protocol for a feasibility randomised controlled trial.

Film genre prediction and analysis using multimodal embeddings from large models: The case of noir (2025)
Journal Article

We used embeddings (numerical representations) from open-sourced language and image models to compare and contrast films in the “noir” and “neo-noir” genres with each other and with those in other genres, using as proxy sources the available plot sum... Read More about Film genre prediction and analysis using multimodal embeddings from large models: The case of noir.

A novel approach to document similarity retrieval using sentence transformers and vector databases (2025)
Presentation / Conference Contribution

This study introduces a novel method for document similarity retrieval, leveraging Sentence Transformers for efficient processing and Milvus for vector storage. The workflow starts by extracting text from crowd-sourced vector databases and segmenting... Read More about A novel approach to document similarity retrieval using sentence transformers and vector databases.

Exploring the ethical challenges of large language models in emergency medicine: A comparative international review (2025)
Presentation / Conference Contribution

Large Language Models (LLMs) hold promise for advancing Emergency Medicine by enhancing operational efficiency and supporting decision-making. This scoping review explores the ethical, legal, and global considerations influencing LLM deployment in em... Read More about Exploring the ethical challenges of large language models in emergency medicine: A comparative international review.