Latest AI and machine learning research in transplantation for healthcare professionals.
The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...
The miniaturisation of sensors and processors, the advancements in connected edge intelligence, an...
Recent advances in representation learning often rely on holistic, black-box embeddings that entan...
Patients with head and neck cancer often present with complex challenges due to a substantial comorb...
The rapid development of microfluidics has driven innovations in material engineering, particularly ...
Automating aircraft manufacturing still relies heavily on human labor due to the complexity of the...
Recent advances in multimodal Reward Models (RMs) have shown significant promise in delivering rew...
Sepsis is a life threatening medical condition that occurs when the body has an extreme response t...
This paper presents the Maximal Compatibility Matching (MCM) framework, a novel assignment strateg...
Population pharmacokinetic (PopPK) modelling is a fundamental tool for understanding drug behaviou...
We introduce brain2print, a web-based application that converts T1-weighted MRI scans into 3D printa...
Large language models (LLMs) have achieved impressive performance across various domains. However,...
Real-time (RT) dynamic MRI plays a vital role in capturing rapid physiological processes, offering...
Driven by the advancements in generative AI, large machine learning models have revolutionized dom...
The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune res...
Methylated RNA m6A immunoprecipitation sequencing (m6A-Seq) is a powerful technique for investigatin...
To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scan...
In this paper, we propose a novel semantic-aided image communication framework for supporting the ...
Multimodal physiological signals, such as EEG, ECG, EOG, and EMG, are crucial for healthcare and b...
The prevalence of Large Language Models (LLMs) is revolutionizing the process of writing code. Gen...
Blind and visually impaired (BVI) students face significant challenges in traditional educational ...