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AI-based mobile application to fight antibiotic resistance.

Nature communications Feb 19, 2021
Antimicrobial resistance is a major global health threat and its development is promoted by antibiotic misuse. While disk diffusion antibiotic susceptibility testing (AST, also called antibiogram) is broadly used to test for antibiotic resistance in ...
Drug Resistance, Microbial Smartphone Mobile Applications Bacterial Infections Anti-Bacterial Agents Microbial Sensitivity Tests Image Processing, Computer-Assisted Humans Artificial Intelligence Machine Learning Software
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Application of a Computer Vision Tool for Automated Glottic Tracking to Vocal Fold Paralysis Patients.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 16, 2021
OBJECTIVES: (1) Demonstrate true vocal fold (TVF) tracking software (AGATI [Automated Glottic Action Tracking by artificial Intelligence]) as a quantitative assessment of unilateral vocal fold paralysis (UVFP) in a large patient cohort. (2) Correlate...
Glottis Middle Aged Injections Laryngoscopy Artificial Intelligence Female Video Recording Laryngoplasty Software Patient Reported Outcome Measures Humans Male Vocal Cord Paralysis
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Combination of deep neural network with attention mechanism enhances the explainability of protein contact prediction.

Proteins Feb 16, 2021
Deep learning has emerged as a revolutionary technology for protein residue-residue contact prediction since the 2012 CASP10 competition. Considerable advancements in the predictive power of the deep learning-based contact predictions have been achie...
Deep Learning Protein Binding Computational Biology Proteins Humans Software Research Design Binding Sites Sequence Analysis, Protein Databases, Protein Sequence Alignment Protein Interaction Domains and Motifs Benchmarking Protein Conformation
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Gaze and Event Tracking for Evaluation of Recommendation-Driven Purchase.

Sensors (Basel, Switzerland) Feb 16, 2021
Recommendation systems play an important role in e-commerce turnover by presenting personalized recommendations. Due to the vast amount of marketing content online, users are less susceptible to these suggestions. In addition to the accuracy of a rec...
Reproducibility of Results Neural Networks, Computer Consumer Behavior Machine Learning Software
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Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI.

BMC medical imaging Feb 15, 2021
BACKGROUND: Image segmentation is a common task in medical imaging e.g., for volumetry analysis in cardiac MRI. Artificial neural networks are used to automate this task with performance similar to manual operators. However, this performance is only ...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Software Sensitivity and Specificity Magnetic Resonance Imaging Heart
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DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.

Genomics, proteomics & bioinformatics Feb 11, 2021
The establishment of a landscape of enhancers across human cells is crucial to deciphering the mechanism of gene regulation, cell differentiation, and disease development. High-throughput experimental approaches, which contain successfully reported e...
Chromatin Software Sequence Analysis, DNA Enhancer Elements, Genetic Humans Neural Networks, Computer
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Towards effective deep transfer via attentive feature alignment.

Neural networks : the official journal of the International Neural Network Society Feb 10, 2021
Training a deep convolutional network from scratch requires a large amount of labeled data, which however may not be available for many practical tasks. To alleviate the data burden, a practical approach is to adapt a pre-trained model learned on the...
Software Machine Learning
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Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study.

European journal of radiology Feb 10, 2021
PURPOSE: Spinal lesion differential diagnosis remains challenging even in MRI. Radiomics and machine learning (ML) have proven useful even in absence of a standardized data mining pipeline. We aimed to assess ML diagnostic performance in spinal lesio...
Male Humans Female Middle Aged Child Aged, 80 and over Machine Learning Adolescent Aged Magnetic Resonance Imaging Young Adult Bone Neoplasms Adult Software Retrospective Studies
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Automatic deep learning-driven label-free image-guided patch clamp system.

Nature communications Feb 10, 2021
Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. Here, we demonstrate a tool that fully automatically performs electrophysiological recordings in label-free tissue slices. The automation covers the detection of cell...
Deep Learning Image Processing, Computer-Assisted Rats, Wistar Rats Animals Male Middle Aged Electrophysiology Patch-Clamp Techniques Neurons Video Recording Automation Humans Software Aged Adult Brain Female
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New machine learning and physics-based scoring functions for drug discovery.

Scientific reports Feb 4, 2021
Scoring functions are essential for modern in silico drug discovery. However, the accurate prediction of binding affinity by scoring functions remains a challenging task. The performance of scoring functions is very heterogeneous across different tar...
Humans Software Hydrophobic and Hydrophilic Interactions Datasets as Topic Support Vector Machine Protein Interaction Mapping Peptide Hydrolases Research Design Internet Protease Inhibitors Drugs, Investigational Entropy Molecular Docking Simulation Ligands Drug Discovery
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