OBJECTIVE. Machine learning (ML) and artificial intelligence (AI) are rapidly becoming the
most talked about and controversial topics in radiology and medicine. Over the past few …

The task of epitope discovery and vaccine design is increasingly reliant on bioinformatics
analytic tools and access to depositories of curated data relevant to immune reactions and …

Objectives This review provided a conceptual framework of sample size calculations in the
studies of diagnostic test accuracy in various conditions and test outcomes. Methods The …

Metabolomics is increasingly being applied towards the identification of biomarkers for
disease diagnosis, prognosis and risk prediction. Unfortunately among the many published …

Undetected carelessly given responses in survey data diminish the credibility of study
findings. We therefore examined two pressing issues: the accuracy of popular screening …

As a frequent natural disaster, landslides incur significant economic and human losses
worldwide. The main idea of this paper is to propose novel integrative models for landslide …

When evaluating a continuous-scale diagnostic test, we need to account for the changes of
specificity and sensitivity when the test threshold t varies. One may wish to report the sum of …

Allergic contact dermatitis (ACD) initiated by chemical sensitizers is an important public
health concern. To prevent ACD, it is important to identify chemical allergens to limit the use …

Metabolomics is undergoing tremendous growth and is being employed to solve a diversity
of biological problems from environmental issues to the identification of biomarkers for …

The ability to detect and isolate rare target cells from heterogeneous samples is in high
demand in cell biology research, immunology, tissue engineering and medicine …