In the context of biomedical data, an anomaly could refer to a rare or new type of disease, an
aberration from normal behavior, or an unexpected observation requiring immediate …

A breast tissue biopsy is performed to identify the nature of a tumour, as it can be either
cancerous or benign. The first implementations involved the use of machine learning …

Personal health data is subject to privacy regulations, making it challenging to apply
centralized data-driven methods in healthcare, where personalized training data is …

As a highly contagious disease, COVID-19 has not only had a great impact on the life, study
and work of hundreds of millions of people around the world, but also had a huge impact on …

The rapid outbreak of COVID-19 has proven to be a dangerous virus with catastrophic
effects on large populations and health systems worldwide. Therefore, in order to limit the …

The objective of this research endeavor is to identify an effective model for the classification
of multiple viral respiratory diseases, encompassing COVID-19. The feature extraction …

Innumerable approaches of deep learning-based COVID-19 detection systems have been
suggested by researchers in the recent past, due to their ability to process high-dimensional …

Spatial transcriptomics (ST) enables the visualization of gene expression within the context
of tissue morphology. This emerging discipline has the potential to serve as a foundation for …

Automated disease analysis has become crucial following the need for quicker yet accurate
detection to assist medical experts in their diagnosis. One of the methods that uses imaging …

Monitoring and maintaining the health of gears is crucial for the efficient and safe operation
of mechanical systems. Due to harsh operating conditions, gear failures such as wear …