(pre-)malignancy, such as a higher metabolic activity and changes in lipid and protein levels[75]. However, visual interpretation of the Raman spectra can be challenging. With the introduction of machine learning algorithms in Raman spectroscopy, an excellent diagnostic accuracy in differentiating ...
MACHINE learningHUMAN fingerprintsSPECTRUM analysisBIOMEDICAL materialsRaman spectroscopy (RS) is a spectroscopic method which indirectly measures the vibrational states within samples. This information on vibrational states can be utilized as spectroscopic fingerprints of the sample, which, subsequently,...
MACHINE learningRAMAN spectroscopyDEEP learningLITERATURE reviewsDECISION makingRaman Spectroscopy has long been anticipated to augment clinical decision making, such as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far inhibited their routine use ...
Machine learningFood-borne pathogensSingle cellRapid detection of food-borne pathogens in early food contamination is a permanent topic to ensure food safety and prevent public health problems. Raman spectroscopy, a label-free, highly sensitive and dependable technology has attracted more and more ...
Portable Raman spectroscopyMachine learningLinear regressionDetection of explosives and their residues in real time is of paramount importance to homeland security and military. In real-time applications, the suspected materials may contain several chemical compounds making the detection even more challenging...
Raman spectroscopy and machine-learning for edible oils evaluationEdible oilsMachine learningRaman spectroscopyAdulterationAuthenticity controlBecause of the important advantages as rapidity, cost effectiveness and no sample preparation necessity, encountered in most of the cases, Raman spectroscopy gained more ...
This review summarizes the work of Raman spectroscopy in identifying the composition of substances; reviews the preprocessing process of Raman spectroscopy, artificial intelligence analysis methods, and analysis procedures; and examines the application of artificial intelligence. Finally, the advantages and ...
Raman Spectroscopy#Cancer#Bacterial and Viral Infections#Blood Disorders and Diabetes#Kidney, Heart, and Thyroid Diseases#Autoimmune and Neurodegenerative Diseases#Other Diseases#Surface-Enhanced Raman Spectroscopy#Cancer#Bacterial, Parasitic, and Viral Infections#Kidney and Heart Diseases#Autoimmune and ...
Raman spectroscopy and Machine-Learning for edible oils evaluationEdible oilsMachine learningRaman spectroscopyAdulterationAuthenticity controlBecause of the important advantages as rapidity, cost effectiveness and no sample preparation necessity, encountered in most of the cases, Raman spectroscopy gained more ...
Raman spectroscopyMachine learningBreast cancerCancer diagnosisCancer subtype classificationDIAGNOSISTISSUESBENIGNBreast cancer is a major health threat for women. The drug responses associated with different breast cancer subtypes have obvious effects on therapeutic outcomes; therefore, the accurate classification...