首页|University of Milano Bicocca Reports Findings in Machine Learning (An integrated computational pipeline for machine learning-driven diagnosis based on Raman spectra of saliva samples)
University of Milano Bicocca Reports Findings in Machine Learning (An integrated computational pipeline for machine learning-driven diagnosis based on Raman spectra of saliva samples)
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New research on Machine Learning is the subject of a report. According to news reporting out of Milan, Italy, by NewsRx editors, research stated, "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 time-consuming procedure even for domain experts." Our news journalists obtained a quote from the research from the University of Milano Bicocca, "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 SARS-COV-2 Infection and for the screening of neurodegenerative diseases such as Parkinson's and Alzheimer's diseases." According to the news editors, the research concluded: "The proposed system can be used for the fast prototyping of promising non-invasive, cost and time-efficient diagnostic screening tests." This research has been peer-reviewed.
MilanItalyEuropeCyborgsDeep LearningDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine Learning
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