With the advances of liquid biopsy technology, there is increasing evidence that body fluid
such as blood, urine, and saliva could harbor the potential biomarkers associated with tumor …

Artificial intelligence (AI) technology has made leaps and bounds since its invention. AI
technology can be subdivided into many technologies such as machine learning and deep …

Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …

High throughput technological innovations in the past decade have accelerated research
into the trillions of commensal microbes in the gut. The 'omics' technologies used for …

Clostridioides difficile infection (CDI) is a gastro-intestinal (GI) infection that illustrates how
perturbations in symbiotic host–microbiome interactions render the GI tract vulnerable to the …

Background In our clinical work, we found that cancer patients were susceptible to coronary
atherosclerotic heart disease (CAD). However, less is known about the relationship between …

The use of data-driven high-throughput analytical techniques, which has given rise to
computational oncology, is undisputed. The widespread use of machine learning (ML) and …

Introduction miRNAs originating from colorectal cancer (CRC) tissue receive significant
focus in the early diagnosis of CRC due to their stability in body fluids. However, if these …

Abstract Machine learning (ML) includes a broad class of computer programs that improve
with experience and shows unique strengths in performing tasks such as clustering …

Colorectal cancer (CRC) is among the most prevalent cancers in the world. Due to
numerous scholarly papers and broad enquiries about specific use cases for artificial …