Single-cell metabolomics with mass spectrometry enables a large variety of metabolites to
be simultaneously detected from individual cells, without any preselection or labelling, to …

Deep learning (DL) is powerful to find patterns or hidden information from data using neural
networks. With the growth of data and computing capabilities, DL has rapidly advanced and …

Peptidergic dense-core vesicles are involved in packaging and releasing neuropeptides
and peptide hormones—critical processes underlying brain, endocrine and exocrine …

Mass spectrometry (MS) is a convenient, highly sensitive, and reliable method for the
analysis of complex mixtures, which is vital for materials science, life sciences fields such as …

Abstract Treatment and prevention of cardiovascular diseases often rely on
Electrocardiogram (ECG) interpretation. Dependent on the physician's variability, ECG …

Determining which substances on the global market could be classified as persistent, mobile
and toxic (PMT) substances or very persistent, very mobile (vPvM) substances is essential to …

Metabolomics describes a high-throughput approach for measuring a repertoire of
metabolites and small molecules in biological samples. One utility of untargeted …

Although the debate regarding the impact of high-quality institutional measures to address
climate change associated with global carbon dioxide (CO 2) emissions has gained …

In vitro diagnosis (IVD) is one vital component of medical tests that detects biological
samples of tissues or bio‐fluids. Recently, mass spectrometry and spectroscopy have been …

Aqueous solubility, log S, and the water–octanol partition coefficient, log P, are
physicochemical properties that are used to screen the viability of drug candidates and to …