Artificial intelligence biosensors: Challenges and prospects

X Jin, C Liu, T Xu, L Su, X Zhang - Biosensors and Bioelectronics, 2020 - Elsevier
Artificial intelligence (AI) and wearable sensors are two essential fields to realize the goal of
tailoring the best precision medicine treatment for individual patients. Integration of these …

Raman spectroscopy of blood and blood components

CG Atkins, K Buckley, MW Blades… - Applied …, 2017 - journals.sagepub.com
Blood is a bodily fluid that is vital for a number of life functions in animals. To a first
approximation, blood is a mildly alkaline aqueous fluid (plasma) in which a large number of …

Using Raman spectroscopy to characterize biological materials

HJ Butler, L Ashton, B Bird, G Cinque, K Curtis… - Nature protocols, 2016 - nature.com
Raman spectroscopy can be used to measure the chemical composition of a sample, which
can in turn be used to extract biological information. Many materials have characteristic …

Machine Learning‐Driven 3D Plasmonic Cavity‐in‐Cavity Surface‐Enhanced Raman Scattering Platform with Triple Synergistic Enhancement Toward Label‐Free …

G Fang, X Lin, X Liang, J Wu, W Xu, W Hasi, B Dong - Small, 2022 - Wiley Online Library
The surface‐enhanced Raman scattering (SERS) technique with ultrahigh sensitivity has
gained attention to meet the increasing demands for food safety analysis. The integration of …

Developing and understanding biofluid vibrational spectroscopy: a critical review

MJ Baker, SR Hussain, L Lovergne… - Chemical Society …, 2016 - pubs.rsc.org
Vibrational spectroscopy can provide rapid, label-free, and objective analysis for the clinical
domain. Spectroscopic analysis of biofluids such as blood components (eg serum and …

High throughput blood analysis based on deep learning algorithm and self‐positioning super‐hydrophobic SERS platform for non‐invasive multi‐disease screening

X Lin, D Lin, Y Chen, J Lin, S Weng… - Advanced Functional …, 2021 - Wiley Online Library
Blood analysis is crucial for early cancer screening and improving patient survival rates.
However, developing an effective strategy for early cancer detection using high‐throughput …

Surface-enhanced Raman scattering in cancer detection and imaging

M Vendrell, KK Maiti, K Dhaliwal, YT Chang - Trends in biotechnology, 2013 - cell.com
Technologies that use surface-enhanced Raman scattering (SERS) have experienced
significant growth in biomedical research during the past 4 years. In this review we …

Surface enhanced Raman scattering artificial nose for high dimensionality fingerprinting

N Kim, MR Thomas, MS Bergholt, IJ Pence… - Nature …, 2020 - nature.com
Label-free surface-enhanced Raman spectroscopy (SERS) can interrogate systems by
directly fingerprinting their components' unique physicochemical properties. In complex …

Rapid and precise detection of cancers via label-free SERS and deep learning

CC Xiong, SS Zhu, DH Yan, YD Yao, Z Zhang… - Analytical and …, 2023 - Springer
Early, express, and reliable detection of cancer can provide a favorable prognosis and
decrease mortality. Tumor biomarkers have been proven to be closely related to tumor …

[HTML][HTML] Recent progress on liquid biopsy analysis using surface-enhanced Raman spectroscopy

Y Zhang, X Mi, X Tan, R Xiang - Theranostics, 2019 - ncbi.nlm.nih.gov
Traditional tissue biopsy is limited in understanding heterogeneity and dynamic evolution of
tumors. Instead, analyzing circulating cancer markers in various body fluids, commonly …