The ability to identify multiple PAH/Cs when present within samples, without the need for complex separation and purification steps, by applying machine learning approaches. Design, develop, and ...

Department of Breast Surgery, The Second Hospital of Shandong University, Jinan, Shandong 250033, China Institute of Translational Medicine of Breast Disease Prevention and Treatment, Shandong ...

Definition:Raman Spectroscopy is a sophisticated analytical technique used to observe vibrational, rotational, and other low-frequency modes in a system. This material characterization technique ...

If breast cancer is detected at stage I, there is a 99% chance the patient will survive for the next five years at least.

A portable virus capture device coupled with label-free Raman Spectroscopy holds the promise of fast detection by rapidly obtaining the Raman signature of a virus followed by a machine learning ...

By combing the strengths of machine learning and optical techniques like Raman spectroscopy and photoluminescence, this approach aims to streamline the identification process, accelerate the material ...

Raman Spectroscopy,Saliva Samples,Sample Collection,Sample Preparation,Spectroscopy Technology,Spectroscopy Tests,Support Vector Machine,Support Vector Machine Algorithm,Surface-enhanced Raman ...

In the study, the team optimised a laser analysis technique -- known as Raman spectroscopy -- and combined it with machine learning. The team could spot breast cancer at stage 1a with 98 per cent ...

Blood Plasma,Combination Of Raman Spectroscopy,Feature Selection Methods,Fisher Score,Healthy Controls,Human Plasma,Linear Discriminant Analysis,Lung Cancer,Lung Cancer Screening,Machine ...