AIMC Topic: Algorithms

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Artificial Intelligence and Deep Learning of Head and Neck Cancer.

Magnetic resonance imaging clinics of North America Feb 1, 2022
Artificial intelligence (AI) algorithms, particularly deep learning, have developed to the point that they can be applied in image recognition tasks. The use of AI in medical imaging can guide radiologists to more accurate image interpretation and di...
Humans Deep Learning Head and Neck Neoplasms Magnetic Resonance Imaging Artificial Intelligence Algorithms
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Morphological components detection for super-depth-of-field bio-micrograph based on deep learning.

Microscopy (Oxford, England) Jan 29, 2022
Accompanied with the clinical routine examination demand increase sharply, the efficiency and accuracy are the first priority. However, automatic classification and localization of cells in microscopic images in super depth of Field (SDoF) system rem...
Deep Learning Microscopy Algorithms
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The research of recognition of peep door open state of ethylene cracking furnace based on deep learning.

Mathematical biosciences and engineering : MBE Jan 26, 2022
In the chemical industry, the ethylene cracking furnace is the core ethylene production equipment, and its safe and stable operation must be ensured. The fire gate is the only observation window to understand the high temperature operating conditions...
Neural Networks, Computer Deep Learning Algorithms Ethylenes
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Solving the TSP by the AALHNN algorithm.

Mathematical biosciences and engineering : MBE Jan 25, 2022
It is prone to get stuck in a local minimum when solving the Traveling Salesman Problem (TSP) by the traditional Hopfield neural network (HNN) and hard to converge to an efficient solution, resulting from the defect of the penalty method used by the ...
Acceleration Computer Simulation Neural Networks, Computer Travel Algorithms
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Surrogate gradients for analog neuromorphic computing.

Proceedings of the National Academy of Sciences of the United States of America Jan 25, 2022
To rapidly process temporal information at a low metabolic cost, biological neurons integrate inputs as an analog sum, but communicate with spikes, binary events in time. Analog neuromorphic hardware uses the same principles to emulate spiking neural...
Computers Brain Models, Theoretical Neural Networks, Computer Algorithms Models, Neurological Neurons Models, Biological Action Potentials
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Uncertainty-aware and interpretable evaluation of Cas9-gRNA and Cas12a-gRNA specificity for fully matched and partially mismatched targets with Deep Kernel Learning.

Nucleic acids research Jan 25, 2022
The choice of guide RNA (gRNA) for CRISPR-based gene targeting is an essential step in gene editing applications, but the prediction of gRNA specificity remains challenging. Lack of transparency and focus on point estimates of efficiency disregarding...
Humans Reproducibility of Results Deep Learning Genomics Neural Networks, Computer Algorithms Gene Targeting RNA, Guide, CRISPR-Cas Systems CRISPR-Cas Systems Gene Editing
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Fully automated identification of cephalometric landmarks for upper airway assessment using cascaded convolutional neural networks.

European journal of orthodontics Jan 25, 2022
OBJECTIVES: The aim of the study was to evaluate the accuracy of a cascaded two-stage convolutional neural network (CNN) model in detecting upper airway (UA) soft tissue landmarks in comparison with the skeletal landmarks on the lateral cephalometric...
Face Palate, Soft Neural Networks, Computer Adult Algorithms Cephalometry Humans
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Detection of transcription factors binding to methylated DNA by deep recurrent neural network.

Briefings in bioinformatics Jan 17, 2022
Transcription factors (TFs) are proteins specifically involved in gene expression regulation. It is generally accepted in epigenetics that methylated nucleotides could prevent the TFs from binding to DNA fragments. However, recent studies have confir...
Transcription Factors DNA Methylation DNA-Binding Proteins Gene Expression Regulation DNA Deep Learning Protein Binding Neural Networks, Computer Algorithms Binding Sites Humans
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SIGNET: single-cell RNA-seq-based gene regulatory network prediction using multiple-layer perceptron bagging.

Briefings in bioinformatics Jan 17, 2022
High-throughput single-cell RNA-seq data have provided unprecedented opportunities for deciphering the regulatory interactions among genes. However, such interactions are complex and often nonlinear or nonmonotonic, which makes their inference using ...
Gene Expression Regulation Transcription Factors Cluster Analysis Deep Learning Single-Cell Analysis Gene Regulatory Networks Sequence Analysis, RNA RNA-Seq Neural Networks, Computer Humans Algorithms Gene Expression Profiling
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Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion.

Briefings in bioinformatics Jan 17, 2022
More than 6000 human diseases have been recorded to be caused by non-synonymous single nucleotide polymorphisms (nsSNPs). Rapid and accurate prediction of pathogenic nsSNPs can improve our understanding of the principle and design of new drugs, which...
Disease Cellular Microenvironment Mutation Pharmaceutical Preparations Algorithms Deep Learning Computational Biology Area Under Curve Polymorphism, Single Nucleotide Humans
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