Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation...
Protein structure holds immense potential for pathogenicity prediction, albeit structure-based predi...
OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...
This paper proposes a neural network based on the Markov probability transition matrix to predict th...
High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effe...
INTRODUCTION: This study proposes a novel Transformer-based approach to enhance talent attraction an...
BACKGROUND: The sensitivity and discrimination capacity of sensory systems can be improved by percep...
The examination and application of Zipf's law is a significant topic in quantitative linguistics. Th...
Monitoring the remaining food in patients' trays is a routine activity in healthcare facilities as i...
INTRODUCTION: The growing presence of artificial intelligence (AI) in health professions has created...
Air traffic congestion-induced flight accidents pose a significant challenge in the aviation sector....
Intracranial aneurysms, with an annual incidence of 2%-3%, reflect a rare disease associated with si...
BACKGROUND: Large language models (LLMs) have many clinical applications. However, the comparative p...
The rapid integration of artificial intelligence into healthcare has introduced transformative possi...
The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-...
Effective evaluation and governance of predictive models used in health care, particularly those dri...
The elucidation of protein structure and function plays a pivotal role in understanding biological p...
Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality glo...
"Medical deserts" are areas with low healthcare service levels, challenging the access, quality, and...
Biomedical Relation Extraction (RE) is central to Biomedical Natural Language Processing and is cruc...
Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway w...