Although metagenomic sequencing is now the preferred technique to study microbiome-host
interactions, analyzing and interpreting microbiome sequencing data presents challenges …

Infectious diseases have long posed a significant threat to global health and require
constant innovation in treatment approaches. However, recent groundbreaking research has …

The rapid development of machine learning (ML) techniques has opened up the data-dense
field of microbiome research for novel therapeutic, diagnostic, and prognostic applications …

Background Colorectal cancer (CRC) is a type of tumor caused by the uncontrolled growth
of cells in the mucosa lining the last part of the intestine. Emerging evidence underscores an …

Introduction Microbiome-based clinical applications that improve diagnosis related to oral
health are of great interest to precision dentistry. Predictive studies on the salivary …

Climate change presents an unprecedented global challenge, demanding collective action
to both mitigate its effects and adapt to its consequences. Soil health and function are …

The gut microbiota plays a vital role in human health, and significant effort has been made to
predict human phenotypes, especially diseases, with the microbiota as a promising indicator …

Abstract Machine learning (ML) is an efficacious tool that can be employed to enhance the
pasteurization process through several means. This paper provides an analysis of the …

Abstract Machine learning (ML) is poised to drive innovations in clinical microbiomics, such
as in disease diagnostics and prognostics. However, the successful implementation of ML in …

Autism spectrum disorder (ASD) affects social interaction and communication. Emerging
evidence links ASD to gut microbiome alterations, suggesting that microbial composition …