DNA microarray technology has emerged as a prospective tool for diagnosis of cancer and
its classification. It provides better insights of many genetic mutations occurring within a cell …

Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

Abstract Motivation Anti-cancer peptides (ACPs) have recently emerged as promising
therapeutic agents for cancer treatment. Due to the avalanche of protein sequence data in …

This paper aims to assist in the prevention of Chronic Kidney Disease (CKD) by utilizing
machine learning techniques to diagnose CKD at an early stage. Kidney diseases are …

Shotgun metagenomic analysis of the human associated microbiome provides a rich set of
microbial features for prediction and biomarker discovery in the context of human diseases …

Breast cancer death rates are higher than any other cancer in American women. Machine
learning-based predictive models promise earlier detection techniques for breast cancer …

Deep learning-based radiomics (DLR) was developed to extract deep information from
multiple modalities of magnetic resonance (MR) images. The performance of DLR for …

Heart diseases are of notable public health disquiet worldwide. Heart patients are growing
speedily owing to deficient health awareness and bad consumption lifestyles. Therefore, it is …

The objective of this study is to investigate the relationship between the melt pool
characteristics and the defect occurrence in an as-built additive manufacturing part. One of …

Cancer detection from gene expression data continues to pose a challenge due to the high
dimensionality and complexity of these data. After decades of research there is still …