The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …

In the past few years, deep learning has been successfully applied to various omics data.
However, the applications of deep learning in metabolomics are still relatively low compared …

We are in the midst of a shift in biological research paradigms from reductionist
methodologies that generate a hypothesis and rigorously and quantitatively measure the …

Bioinformatics is a subject that studies life phenomena by using mathematical and
information science theories and techniques. Its main tasks, such as DNA sequence …

The metabolomics approach represents the last downstream phenotype and is widely used
in clinical studies and drug discovery. In this paper, we outline recent advances in the …

Background In recent years, studies have shown that exposure to environmental pollutants
(eg, radiation, heavy metal substances, air pollutants, organic pollutants) is a leading cause …

Lameness in dairy cattle is a highly prevalent condition that impacts on the health and
welfare of dairy cows. Prompt detection and implementation of effective treatment is …

Assessing dementia conversion in patients with mild cognitive impairment (MCI) remains
challenging owing to pathological heterogeneity. While many MCI patients ultimately …

Objective Metabolic biomarkers can potentially inform disease progression in Alzheimer's
disease (AD). The purpose of this study is to identify and describe a new set of diagnostic …

Metabolomics has emerged as a transformative tool in the study of microbes, including
pathogenic fungi, facilitating the identification of unique metabolic profiles that elucidate their …