AIMC Topic: Algorithms

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Quantitative structure retention relationship (QSRR) modelling for Analytes' retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Jan 19, 2022
In metabolomics, retention prediction methods have been developed based on the structural and physicochemical characteristics of analytes. Such methods employ regression models, harnessing machine learning algorithms mapping experimentally derived re...
Metabolomics Chromatography, Liquid Molecular Structure Organic Chemicals Mass Spectrometry Bayes Theorem Linear Models Databases, Chemical Machine Learning Algorithms
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Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.

Medical physics Jan 19, 2022
PURPOSE: Deep learning (DL) is rapidly finding applications in low-dose CT image denoising. While having the potential to improve the image quality (IQ) over the filtered back projection method (FBP) and produce images quickly, performance generaliza...
Humans Neural Networks, Computer Algorithms Radiation Dosage Signal-To-Noise Ratio Phantoms, Imaging Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
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Ultrasound Image-Guided Nerve Block Combined with General Anesthesia under an Artificial Intelligence Algorithm on Patients Undergoing Radical Gastrectomy for Gastric Cancer during and after Operation.

Computational and mathematical methods in medicine Jan 19, 2022
This study was aimed at investigating the location of gastric cancer by using a gastroscope image based on an artificial intelligence algorithm for gastric cancer and the effect of ultrasonic-guided nerve block combined with general anesthesia on pat...
Stomach Neoplasms Male Middle Aged Ultrasonography Nerve Block Computational Biology Female Aged Humans Adult Gastrectomy Artificial Intelligence Anesthesia, General Algorithms Surgery, Computer-Assisted
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Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer.

Computational and mathematical methods in medicine Jan 19, 2022
This study was to evaluate the diagnostic value of deep learning-optimized chest CT in the patients with lung cancer. 90 patients who were diagnosed with lung cancer by surgery or puncture in hospital were selected as the research subjects. The Mask ...
Computational Biology Radiographic Image Interpretation, Computer-Assisted Case-Control Studies Deep Learning Lung Neoplasms Male Middle Aged Algorithms Tomography, X-Ray Computed Female Humans Aged Neural Networks, Computer Adult Biomarkers, Tumor
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Application of Intelligent Paradigm through Neural Networks for Numerical Solution of Multiorder Fractional Differential Equations.

Computational intelligence and neuroscience Jan 19, 2022
In this study, the intelligent computational strength of neural networks (NNs) based on the backpropagated Levenberg-Marquardt (BLM) algorithm is utilized to investigate the numerical solution of nonlinear multiorder fractional differential equations...
Neural Networks, Computer Algorithms
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Introduction to Artificial Intelligence and Machine Learning in Nephrology.

Clinical journal of the American Society of Nephrology : CJASN Jan 18, 2022
Machine Learning Humans Algorithms Artificial Intelligence Nephrology
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Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.

Radiology Jan 18, 2022
Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung cancer screening while minimizing the radiation dose. However, traditional image reconstruction methods are associated with image noise in low-dose ac...
Female Radiographic Image Interpretation, Computer-Assisted Male Precancerous Conditions Lung Radiation Dosage Algorithms Deep Learning Humans Lung Neoplasms Prospective Studies Early Detection of Cancer Tomography, X-Ray Computed
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Adaptively Optimized Gas Analysis Model with Deep Learning for Near-Infrared Methane Sensors.

Analytical chemistry Jan 18, 2022
Noise significantly limits the accuracy and stability of retrieving gas concentration with the traditional direct absorption spectroscopy (DAS). Here, we developed an adaptively optimized gas analysis model (AOGAM) composed of a neural sequence filte...
Algorithms Deep Learning Principal Component Analysis Methane
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Novel Big Data-Driven Machine Learning Models for Drug Discovery Application.

Molecules (Basel, Switzerland) Jan 18, 2022
Most contemporary drug discovery projects start with a 'hit discovery' phase where small chemicals are identified that have the capacity to interact, in a chemical sense, with a protein target involved in a given disease. To assist and accelerate thi...
Protein Conformation Humans Receptor, Adenosine A2A Receptors, Opioid, kappa Machine Learning Computer Simulation Protein Binding Algorithms Ligands Drug Discovery Big Data
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A Comprehensive Survey on Nanophotonic Neural Networks: Architectures, Training Methods, Optimization, and Activations Functions.

Sensors (Basel, Switzerland) Jan 18, 2022
In the last years, materializations of neuromorphic circuits based on nanophotonic arrangements have been proposed, which contain complete optical circuits, laser, photodetectors, photonic crystals, optical fibers, flat waveguides and other passive o...
Optics and Photonics Photons Neural Networks, Computer Algorithms Neurons
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