Background The dynamics of the cellular glycolysis pathway underpin cellular function and
dysfunction, and therefore ultimately health, disease, diagnostic and therapeutic strategies …

The advances in cancer research achieved in the last 50 years have been remarkable and
have provided a deeper knowledge of this disease in many of its conceptual and …

Simple Summary Pancreatic tumors are extremely difficult to detect in their early stages due
to the lack of early symptomatic evidence and fast, simple, non-invasive, and accurate …

Collagen is one of the main components of the extracellular matrix (ECM), involved, among
all, in the maintenance of the structural support of tissues. In fibrotic diseases, collagen is …

We report the use of a novel technology based on optical photothermal infrared (O-PTIR)
spectroscopy for obtaining simultaneous infrared and Raman spectra from the same location …

Variational autoencoders (VAEs) are generative models known for learning compact and
continuous latent representations of data. While they have proven effective in various …

Raman MicroSpectroscopy (RMS) is a powerful label-free tool to probe the effects of drugs
at a cellular/subcellular level. It is important, however, to be able to extract relevant …

Raman spectroscopy is a powerful analytical method widely used in many fields of science
and applications. However, one of the inherent issues of this method is a low signal-to-noise …

Over recent years, deep learning (DL) has become more widely used within the field of
cancer diagnostics. However, DL often requires large training datasets to prevent overfitting …

Background Analysis of the glutamine metabolic pathway has taken a special place in
metabolomics research in recent years, given its important role in cell biosynthesis and …