AIMC Topic: Deep Learning

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Deep Learning-Assisted Multiplexed Electrochemical Fingerprinting for Chinese Tea Identification.

Analytical chemistry Apr 10, 2025
Selectively differential identification of natural components with similar chemical structures in complex matrices is still a challenging task by conventional analytical strategies. Herein, we developed a landmark (DaXing airport)-inspired laser engr...
Tea Electrochemical Techniques Electrodes Deep Learning Polyphenols Neural Networks, Computer
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Artificial intelligence for the detection of interictal epileptiform discharges in EEG signals.

Revue neurologique Apr 10, 2025
INTRODUCTION: Over the past decades, the integration of modern technologies - such as electronic health records, cloud computing, and artificial intelligence (AI) - has revolutionized the collection, storage, and analysis of medical data in neurology...
Machine Learning Humans Deep Learning Epilepsy Electroencephalography Seizures Artificial Intelligence
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FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.

NeuroImage Apr 10, 2025
Diffusion MRI (dMRI) offers unique insights into the microstructure of fetal brain tissue in utero. Longitudinal and cross-sectional studies of fetal dMRI have the potential to reveal subtle but crucial changes associated with normal and abnormal neu...
Brain Fetus Humans Female Pregnancy Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Deep Learning
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Peptide Property Prediction for Mass Spectrometry Using AI: An Introduction to State of the Art Models.

Proteomics Apr 10, 2025
This review explores state of the art machine learning and deep learning models for peptide property prediction in mass spectrometry-based proteomics, including, but not limited to, models for predicting digestibility, retention time, charge state di...
Deep Learning Proteomics Mass Spectrometry Machine Learning Peptides Humans
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Design of Multi-Cancer VOCs Profiling Platform via a Deep Learning-Assisted Sensing Library Screening Strategy.

Analytical chemistry Apr 10, 2025
The efficiency of sensor arrays in parallel discrimination of multianalytes is fundamentally influenced by the quantity and performance of the sensor elements. The advent of combinational design has notably accelerated the generation of chemical libr...
Neural Networks, Computer Neoplasms Humans Smartphone Deep Learning Volatile Organic Compounds
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Image quality improvement in head and neck angiography based on dual-energy CT and deep learning.

BMC medical imaging Apr 10, 2025
OBJECTIVE: Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).
Deep Learning Head and Neck Neoplasms Radiographic Image Interpretation, Computer-Assisted Quality Improvement Prospective Studies Neck Tomography, X-Ray Computed Artifacts Computed Tomography Angiography Adult Signal-To-Noise Ratio Female Aged Humans Head Male Radiography, Dual-Energy Scanned Projection Aged, 80 and over Algorithms Middle Aged
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images.

Scientific reports Apr 10, 2025
Stroke is a main risk to life and fitness in current society, particularly in the aging population. Also, the stroke is recognized as a cerebrovascular accident. It contains a nervous illness, which can result from haemorrhage or ischemia of the brai...
Deep Learning Magnetic Resonance Imaging Face Stroke Brain Humans Tomography, X-Ray Computed Algorithms Male
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DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus.

Scientific reports Apr 10, 2025
The integration of Artificial Intelligence (AI) techniques with medical kits has revolutionized disease diagnosis, enabling rapid and accurate identification of various conditions. We developed a novel deep learning model, namely DeepATsers based on ...
SARS-CoV-2 Deep Learning Biosensing Techniques Neural Networks, Computer COVID-19 Spectrum Analysis, Raman Spike Glycoprotein, Coronavirus Humans
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Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms.

Environmental monitoring and assessment Apr 10, 2025
Soil organic carbon (SOC) plays a crucial role in carbon cycle management and soil fertility. Understanding the spatial variations in SOC content is vital for supporting sustainable soil resource management. In this study, we analyzed the variability...
Algorithms Soil Deep Learning Machine Learning France Environmental Monitoring Carbon
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Pre-trained molecular representations enable antimicrobial discovery.

Nature communications Apr 10, 2025
The rise in antimicrobial resistance poses a worldwide threat, reducing the efficacy of common antibiotics. Determining the antimicrobial activity of new chemical compounds through experimental methods remains time-consuming and costly. While compoun...
Drug Discovery Deep Learning Staphylococcus aureus Microbial Sensitivity Tests Humans Anti-Bacterial Agents
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