Wearable neuroimaging methods hold considerable promise for identifying early biomarkers of neurodevelopmental conditions, yet their application to neurodivergent young children remains limited by significant participation barriers. We investigated inclusion rates and parental experiences in a combined virtual ...

Clinical trials are essential for medical progress, but in certain circumstances can be constrained by recruitment costs, ethical challenges, and limited diversity in participant representation, reducing the generalisability of findings across all subgroups. In these cases, the development of digital&...

Objective: Inflammation is implicated in many chronic diseases, but its role in driving multiple long-term conditions (MLTCs) remains unclear. The InflAIM programme aims to explore this potential link. Existing MLTC codelists are valuable but have not been designed for inflammation-focused resear...

Introduction: Artificial intelligence (AI)-enabled healthcare systems introduce clinical safety, operational and governance risks across development, deployment and post deployment stages. Although multiple AI risk assessment frameworks exist, they are often cross-sector, lengthy and difficult to operationalise in&#...

With the rapid growth of the Internet of Things (IoT) and edge intelligence, federated learning (FL) has become a promising approach for distributed model training while preserving privacy. However, the resource constraints of IoT devices, including limited communication bandwidth and heterogeneo...

Micro scale heatsinks provide a promising thermal solution for high-power electronic components. However, the capabilities of current top-to-bottom subtractive manufacturing techniques are constraining the production of complex geometric features required for optimised micro-scale heatsink designs. Thus, additive&#x...

This study draws on a microfoundational view of international business to examine how managerial misperceptions of institutional distance, specifically, the underestimation and overestimation of formal and informal institutional differences between home and host markets, shape expansion strategies, in part...

The vision presented by OECD's Forum on Tax Administration proposes a digital transformation of tax administration by embedding tax collecting process into the everyday activities that taxpayers use to service their needs rather than being an add-on process. The ATTACC project demonstrat...

Digital identity threats have become more complicated due to the emergence of intelligent network environments that create diverse biometrics, behavior, authentication, and network data. In this paper, we introduce a cross-modal deep learning approach for real-time detection of digital identity t...