Advancing biosensors with machine learning
Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
Abstract Machine learning is shaping up our lives in many ways. In analytical sciences,
machine learning provides an unprecedented opportunity to extract information from …
machine learning provides an unprecedented opportunity to extract information from …
Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning
L Huang, H Sun, L Sun, K Shi, Y Chen, X Ren… - Nature …, 2023 - nature.com
Biopsy is the recommended standard for pathological diagnosis of liver carcinoma.
However, this method usually requires sectioning and staining, and well-trained pathologists …
However, this method usually requires sectioning and staining, and well-trained pathologists …
Electrochemical surface-enhanced Raman spectroscopy
Electrochemical surface-enhanced Raman spectroscopy (EC-SERS) is a
spectroelectrochemical method that has been in existence since the first SERS …
spectroelectrochemical method that has been in existence since the first SERS …
Early-stage lung cancer diagnosis by deep learning-based spectroscopic analysis of circulating exosomes
Lung cancer has a high mortality rate, but an early diagnosis can contribute to a favorable
prognosis. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids …
prognosis. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids …
Plasmonic silver and gold nanoparticles: shape-and structure-modulated plasmonic functionality for point-of-caring sensing, bio-imaging and medical therapy
Silver and gold nanoparticles have found extensive biomedical applications due to their
strong localized surface plasmon resonance (LSPR) and intriguing plasmonic properties …
strong localized surface plasmon resonance (LSPR) and intriguing plasmonic properties …
Toward quantitative surface-enhanced Raman scattering with plasmonic nanoparticles: Multiscale view on heterogeneities in particle morphology, surface …
Surface-enhanced Raman scattering (SERS) provides significantly enhanced Raman
scattering signals from molecules adsorbed on plasmonic nanostructures, as well as the …
scattering signals from molecules adsorbed on plasmonic nanostructures, as well as the …
Machine-learning-driven synthesis of carbon dots with enhanced quantum yields
Knowing the correlation of reaction parameters in the preparation process of carbon dots
(CDs) is essential for optimizing the synthesis strategy, exploring exotic properties, and …
(CDs) is essential for optimizing the synthesis strategy, exploring exotic properties, and …
Deep learning for accelerated all-dielectric metasurface design
Deep learning has risen to the forefront of many fields in recent years, overcoming
challenges previously considered intractable with conventional means. Materials discovery …
challenges previously considered intractable with conventional means. Materials discovery …
Exploring differentiated impacts of socioeconomic factors and urban forms on city-level CO2 emissions in China: Spatial heterogeneity and varying importance levels
Z Li, F Wang, T Kang, C Wang, X Chen, Z Miao… - Sustainable Cities and …, 2022 - Elsevier
Excessive anthropogenic carbon emissions due to rapid socioeconomic development and
urban expansion have resulted in significant climate change. Different levels of …
urban expansion have resulted in significant climate change. Different levels of …