AIMC Topic: Computer-Aided Design

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Prediction of formation force during single-point incremental sheet metal forming using artificial intelligence techniques.

PloS one Aug 22, 2019
Single-point incremental forming (SPIF) is a technology that allows incremental manufacturing of complex parts from a flat sheet using simple tools; further, this technology is flexible and economical. Measuring the forming force using this technolog...
Humans Neural Networks, Computer Materials Testing Alloys Manufacturing Industry Computer-Aided Design Aluminum Fuzzy Logic
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Predicting the Debonding of CAD/CAM Composite Resin Crowns with AI.

Journal of dental research Aug 3, 2019
A preventive measure for debonding has not been established and is highly desirable to improve the survival rate of computer-aided design/computer-aided manufacturing (CAD/CAM) composite resin (CR) crowns. The aim of this study was to assess the usef...
Crowns Composite Resins Dental Prosthesis Design Dental Restoration Failure Humans Artificial Intelligence Computer-Aided Design
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Advances in computer-aided medical systems and clinical measurement.

Computer assisted surgery (Abingdon, England) Aug 2, 2019
Humans Artificial Intelligence Surgery, Computer-Assisted Image Interpretation, Computer-Assisted Computer-Aided Design Phantoms, Imaging Diagnostic Imaging Electroencephalography
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Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.

Journal of visualized experiments : JoVE Jan 7, 2019
With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system can be employed to assist the acquisition of real-time ultrasound. However, limited numbers of robots designed for extra-corporeal ultrasound have been...
Biomechanical Phenomena Humans Robotics Computer-Aided Design Reproducibility of Results Equipment Design Ultrasonography Phantoms, Imaging
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The convergence of artificial intelligence and chemistry for improved drug discovery.

Future medicinal chemistry Nov 30, 2018
Chemistry Techniques, Synthetic Drug Design Drug Discovery Pharmaceutical Preparations Humans Artificial Intelligence Computer-Aided Design
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Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data.

Journal of chemical information and modeling Oct 16, 2018
Machine learning has shown enormous potential for computer-aided drug discovery. Here we show how modern convolutional neural networks (CNNs) can be applied to structure-based virtual screening. We have coupled our densely connected CNN (DenseNet) wi...
Databases, Protein Ligands Databases, Pharmaceutical Computer-Aided Design Drug Discovery Proteins Machine Learning Molecular Docking Simulation Humans Neural Networks, Computer
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Sequence-based analysis and prediction of lantibiotics: A machine learning approach.

Computational biology and chemistry Oct 9, 2018
Lantibiotics, an important group of ribosomally synthesized peptides, represent an important arsenal of novel promising antimicrobials showing high potency in fighting against the prevalence of antibiotic resistance among microbial pathogens. However...
Amino Acid Sequence Bacteriocins Leucine Machine Learning Anti-Bacterial Agents Glutamic Acid Computer-Aided Design Algorithms Drug Design
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Usability Evaluation of a Novel Robotic Power Wheelchair for Indoor and Outdoor Navigation.

Archives of physical medicine and rehabilitation Aug 25, 2018
OBJECTIVE: To compare the Mobility Enhancement roBotic (MEBot) wheelchair's capabilities with commercial electric-powered wheelchairs (EPWs) by performing a systematic usability evaluation.
Wheelchairs Spatial Navigation Computer-Aided Design Humans Aged Architectural Accessibility Equipment Design Female Male Environment Robotics Middle Aged Electric Power Supplies
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Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges.

Journal of computer-aided molecular design Aug 16, 2018
Advanced mathematics, such as multiscale weighted colored subgraph and element specific persistent homology, and machine learning including deep neural networks were integrated to construct mathematical deep learning models for pose and binding affin...
Computer-Aided Design Thermodynamics Cathepsins Drug Design Receptors, Cytoplasmic and Nuclear Ligands Protein Binding Molecular Docking Simulation Deep Learning Binding Sites Crystallography, X-Ray Databases, Protein Protein Conformation Protein Kinases
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Artificial intelligence in drug discovery.

Future medicinal chemistry Aug 13, 2018
Artificial Intelligence Machine Learning Animals Computer-Aided Design Drug Design Drug Discovery Quantitative Structure-Activity Relationship Humans
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