Raman spectroscopy, as a label-free optical technology, has widely applied in tumor
diagnosis. Relying on the different Raman technologies, conventional diagnostic methods …

The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high
accuracy and high efficiency in medical decision-making for individualized cancer medicine …

Raman spectroscopy shows great potential as a diagnostic tool for thyroid cancer due to its
ability to detect biochemical changes during cancer development. This technique is …

According to the limited molecular information reflected by single spectroscopy, and the
complementarity of FTIR spectroscopy and Raman spectroscopy, we propose a novel …

Raman Spectroscopy has long been anticipated to augment clinical decision making, such
as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far …

The progression of gastric cancer involves a complex multi-stage process, with gastroscopy
and biopsy being the standard procedures for diagnosing gastric diseases. This study …

Surface-enhanced Raman spectroscopy (SERS), as a rapid, non-invasive and reliable
spectroscopic detection technique, has promising applications in disease screening and …

Monitoring neurochemicals and imaging the molecular content of brain tissues in vitro, ex
vivo, and in vivo is essential for enhancing our understanding of neurochemistry and the …