The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its precise prevalence, transfusion practices and impact on outcomes in ...

Abstract: In a data-driven environment, dealing with missing data is one of the biggest challenges, as it can alter the quality of analysis. Typical imputation techniques fail to consider the ...

MIDN enables multiple healthcare institutions to collaboratively impute missing data without sharing raw patient data. Only aggregated statistics are exchanged, ensuring patient privacy while ...