SeRS‐Based Biosensors Combined with Machine Learning for Medical Application
Sign Up to like & getrecommendations! Published in 2023 at "ChemistryOpen"
DOI: 10.1002/open.202200192
Abstract: Abstract Surface‐enhanced Raman spectroscopy (SERS) has shown strength in non‐invasive, rapid, trace analysis and has been used in many fields in medicine. Machine learning (ML) is an algorithm that can imitate human learning styles and… read more here.
Keywords: based biosensors; machine; machine learning; sers based ... See more keywords
Monitoring the Bacterial Response to Antibiotic and Time Growth Using Near-infrared Spectroscopy Combined with Machine Learning
Sign Up to like & getrecommendations! Published in 2021 at "Food Analytical Methods"
DOI: 10.1007/s12161-021-01994-6
Abstract: Assessing and monitoring the growth and response of bacteria to antibiotics is of crucial importance in research laboratories, as well as in food, environment, medical, and pharmaceutical industrial applications. In this study, Escherichia coli was… read more here.
Keywords: machine learning; response; spectroscopy; combined machine ... See more keywords
Identification of Graves’ ophthalmology by laser-induced breakdown spectroscopy combined with machine learning method
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers of Optoelectronics"
DOI: 10.1007/s12200-020-0978-2
Abstract: Diagnosis of the Graves’ ophthalmology remains a significant challenge. We identified between Graves’ ophthalmology tissues and healthy controls by using laser-induced breakdown spectroscopy (LIBS) combined with machine learning method. In this work, the paraffin-embedded samples… read more here.
Keywords: machine learning; ophthalmology; graves ophthalmology; combined machine ... See more keywords
MALDI-TOF MS platform combined with machine learning to establish a model for rapid identification of methicillin-resistant Staphylococcus aureus.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of microbiological methods"
DOI: 10.1016/j.mimet.2020.106109
Abstract: MALDI-TOF MS is an effective potential tool to distinguish between MSSA and MRSA. By combining the ClinProTools3.0 software and manual grouping intervention, we propose a model optimization method for the first time. The cross validation… read more here.
Keywords: machine learning; maldi tof; tof platform; platform combined ... See more keywords
Dual-source dual-energy computed tomography-derived quantitative parameters combined with machine learning for the differential diagnosis of benign and malignant thyroid nodules.
Sign Up to like & getrecommendations! Published in 2022 at "Quantitative imaging in medicine and surgery"
DOI: 10.21037/qims-21-501
Abstract: Background This study aimed to investigate the ability of quantitative parameter-derived dual-source dual-energy computed tomography (DS-DECT) combined with machine learning to distinguish between benign and malignant thyroid nodules. Methods Patients with thyroid nodules and pathological… read more here.
Keywords: combined machine; machine learning; thyroid nodules; benign malignant ... See more keywords