Biomolecules play critical roles in biological activities and are closely related to various
disease conditions. The reliable, selective and sensitive detection of biomolecules holds …

Breast cancer is one of the most frequent malignancies among women worldwide. Based on
clinical and molecular features of breast tumors, patients are treated with chemotherapy …

Inter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer
and are responsible for imparting differential drug responses in cancer patients. Recently …

Motivation Advanced deep learning techniques have been widely applied in disease
diagnosis and prognosis with clinical omics, especially gene expression data. In the …

Both genomic and transcriptomic signatures have been developed to predict responses of
metastatic melanoma to immune checkpoint blockade (ICB) therapies; however, most of …

The developmental and epileptic encephalopathies (DEEs) are the most severe group of
epilepsies. They usually begin in infancy or childhood with drug-resistant seizures …

Technological advances together with machine learning techniques give health science
disciplines tools that can improve the accuracy of evaluation and diagnosis. The objectives …

Transcriptome profiling is a mainstay of translational cancer research and is increasingly
finding its way into precision oncology. While bulk RNA sequencing (RNA-seq) is widely …

Human papillomavirus (HPV)‐associated cancer continues to evade the immune system by
promoting a suppressive tumor microenvironment. Therefore, immunotherapy appears to be …

Background As one of traditional Chinese medicine, mulberry leaf is abundant in diverse
active ingredients and widely used for the treatment of metabolic disease and its …