Many problems exist within the myriad of currently employed screening and diagnostic
methods. Further, an incredibly wide variety of procedures are used to identify an even …

Novel approaches toward understanding the evolution of disease can lead to the discovery
of biomarkers that will enable better management of disease progression and improve …

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 …

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

Cancer is the second-leading cause of death worldwide. It affects an unfathomable number
of people, with almost 16 million Americans currently living with it. While many cancers can …

Raman spectroscopy is a widely developing approach for noninvasive analysis that can
provide information on chemical composition and molecular structure. High chemical …

Significance As many as 60% of patients with early stage breast cancer undergo breast-
conserving surgery. Of those, 20% to 35% need a second surgery because of incomplete …

Simple Summary Raman spectroscopic analysis is a promising and powerful optical
investigative tool to interrogate tissue and/or biofluids for in vitro and in vivo applications …

Early-stage detection of cutaneous melanoma can vastly increase the chances of cure.
Excision biopsy followed by histological examination is considered the gold standard for …