AIMC Topic: Magnetic Resonance Spectroscopy

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Identification of syrup adulteration in wolfberry honey using CNN-CBAM-SVM combined with H NMR.

Food chemistry
To identify syrup adulteration in honey, a deep learning model based on the CNN-CBAM-SVM architecture combined with H NMR spectra was developed. The traditional CNN model was enhanced by incorporating the CBAM module and replacing the fully connected...

Assisting and accelerating NMR assignment with restrained structure prediction.

Communications biology
Accurate dynamic protein structures are essential for drug design. NMR experiments can detect protein structures and potential dynamics, but the spectrum assignment and structure determination requires expertise and is time-consuming, while deep-lear...

Dual intelligent multiplexing sensor for accurate disease management with portable NMR.

Biosensors & bioelectronics
Emerging infectious diseases demand comprehensive containment strategies, encompassing early detection and patient monitoring. Conventional diagnostic tests often suffer from low sensitivity, reliance on specialized equipment, and binary (positive/ne...

Low-field NMR-based deep learning for non-destructive quality assessment of frozen model foods.

Food chemistry
Gel model foods with 90 % and 80 % water content were prepared for non-destructive quality testing of samples frozen under gradient temperature conditions. First, the drip loss and textural indices of the frozen samples were measured, and the nucleat...

SMART MRS: A Simulated MEGA-PRESS ARTifacts toolbox for GABA-edited MRS.

Magnetic resonance in medicine
PURPOSE: To create a Python-based toolbox to simulate commonly occurring artifacts for single voxel gamma-aminobutyric acid (GABA)-edited MRS data.

Loop Nucleotide Chemical Shifts as a Tool to Characterize DNA G-Quadruplexes.

Chemphyschem : a European journal of chemical physics and physical chemistry
DNA G-quadruplexes are known to play myriad functional roles in the cellular context and their structural diversity has diverse applications in various fields of science. Solution-state NMR spectroscopy has been instrumental in characterization of DN...

Artificial intelligence-powered four-fold upscaling of human brain synthetic metabolite maps.

The Journal of international medical research
ObjectiveCompared with anatomical magnetic resonance imaging modalities, metabolite images from magnetic resonance spectroscopic imaging often suffer from low quality and detail due to their larger voxel sizes. Conventional interpolation techniques a...

Automated Whole-Liver Fat Quantification with Magnetic Resonance Imaging-Derived Proton Density Fat Fraction Map: A Prospective Study in Taiwan.

Gut and liver
BACKGROUND/AIMS: Magnetic resonance imaging (MRI) with a proton density fat fraction (PDFF) sequence is the most accurate, noninvasive method for assessing hepatic steatosis. However, manual measurement on the PDFF map is time-consuming. This study a...

Rapid and accurate identification and quantification of Lycium barbarum L. components: Integrating deep learning and NMR for nutritional assessment.

Food research international (Ottawa, Ont.)
Lycium barbarum L. (L. barbarum), revered for its nutritional and commercial value, exhibits variable nutritional contents depending on the consumption method. This study introduces an innovative approach, the Identification and Quantification of L.b...