An integrated computational pipeline for machine learning-driven diagnosis based on Raman spectra of saliva samples
COMPUTERS IN BIOLOGY AND MEDICINE(2024)
摘要
Raman Spectroscopy promises the ability to encode in spectral data the significant differences between biological samples belonging to patients affected by a disease and samples of healthy patients (controls). However, the decoding and interpretation of the Raman spectral fingerprint is still a difficult and timeconsuming procedure even for domain experts. In this work, we test an end-to-end deep-learning diagnostic pipeline able to classify spectral data from saliva samples. The pipeline has been validated against the SARSCOV-2 Infection and for the screening of neurodegenerative diseases such as Parkinson's and Alzheimer's diseases. The proposed system can be used for the fast prototyping of promising non -invasive, cost and time-efficient diagnostic screening tests.
更多查看译文
关键词
Deep learning,Diagnosis,Computational pipeline,CNN,COVID-19,Parkinson's disease
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要