In the last few decades, our research team has been trying to implement a new methodology in the medical field which has provided tools to help doctors reach medical diagnoses non invasively. The aim of this project is to come up with a portable device that is able to detect earlier-stage cancer based on the spectral signal, here we use the system design using various techniques, sophisticated algorithm, labeling, and prediction methods that would lead to minimally-invasive disease diagnosis and prognosis. This approach will demonstrate a device coupled with quantitative analysis, along with classification analysis on the on-board computing device, is able to discriminate between the biomarkers (proteins, lipids, collagen, esters …) of healthy and cancer fluid samples. In terms of future healthcare technologies and innovations, the focus of healthcare shifts from treating illness to sustaining wellness. The development and the use of this device in the field of Oncology are useful to help in the identification of biomarkers, cancer-risk assessment, histopathology, drug discovery, and in vivo clinical applications. Source: www.futuresolutions.tech