AIMC Topic:
Computer Simulation

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A novel approach for personalized response model: deep learning with individual dropout feature ranking.

Journal of pharmacokinetics and pharmacodynamics Oct 26, 2020
Deep learning is the fastest growing field in artificial intelligence and has led to many transformative innovations in various domains. However, lack of interpretability sometimes hinders its application in hypothesis-driven domains such as biology ...
Datasets as Topic Drug Therapy Biological Variation, Population Deep Learning Treatment Outcome Models, Biological Humans Computer Simulation Precision Medicine
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A Computational Model of the Brain Cortex and Its Synchronization.

BioMed research international Oct 23, 2020
Obtaining the computational models for the functioning of the brain gives us a chance to understand the brain functionality thoroughly. This would help the development of better treatments for neurological illnesses and disorders. We created a cortic...
GABAergic Neurons Models, Neurological Humans Pyramidal Cells Cerebral Cortex Neural Networks, Computer Cortical Synchronization Nerve Net Computer Simulation
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Automatic construction of molecular similarity networks for visual graph mining in chemical space of bioactive peptides: an unsupervised learning approach.

Scientific reports Oct 22, 2020
The increasing interest in bioactive peptides with therapeutic potentials has been reflected in a large variety of biological databases published over the last years. However, the knowledge discovery process from these heterogeneous data sources is a...
Humans Peptide Fragments Software Computer Graphics Algorithms Computational Biology Unsupervised Machine Learning Models, Chemical Databases, Factual Computer Simulation Antineoplastic Agents
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Improved approach to the problem of the global Mittag-Leffler synchronization for fractional-order multidimension-valued BAM neural networks based on new inequalities.

Neural networks : the official journal of the International Neural Network Society Oct 21, 2020
This paper studies the problem of the global Mittag-Leffler synchronization for fractional-order multidimension-valued BAM neural networks (FOMVBAMNNs) with general activation functions (AFs). First, the unified model is established for the researche...
Neural Networks, Computer Computer Simulation
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Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

Scientific reports Oct 20, 2020
To evaluate whether radiomic features from contrast-enhanced computed tomography (CE-CT) can identify DNA mismatch repair deficient (MMR-D) and/or tumor mutational burden-high (TMB-H) endometrial cancers (ECs). Patients who underwent targeted massive...
Carcinoma, Endometrioid DNA Polymerase II Poly-ADP-Ribose Binding Proteins Neoplasm Staging Microsatellite Instability DNA Mismatch Repair Mutation Tumor Suppressor Protein p53 Endometrial Neoplasms Middle Aged Cohort Studies Uterus Tomography, X-Ray Computed Female Aged Humans Machine Learning Computer Simulation Prognosis
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Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.

Scientific reports Oct 20, 2020
For centuries humans have been fascinated by the natural beauty of horses in motion and their different gaits. Gait classification (GC) is commonly performed through visual assessment and reliable, automated methods for real-time objective GC in hors...
Machine Learning Algorithms Phenotype Image Processing, Computer-Assisted Gait Motion Computer Simulation Biomechanical Phenomena Animals Automation Horses Lameness, Animal
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Model-free motion control of continuum robots based on a zeroing neurodynamic approach.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2020
As a result of inherent flexibility and structural compliance, continuum robots have great potential in practical applications and are attracting more and more attentions. However, these characteristics make it difficult to acquire the accurate kinem...
Models, Theoretical Robotics Motion Algorithms Computer Simulation Biomechanical Phenomena
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Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm.

Sensors (Basel, Switzerland) Oct 17, 2020
In the field of robot path planning, aiming at the problems of the standard genetic algorithm, such as premature maturity, low convergence path quality, poor population diversity, and difficulty in breaking the local optimal solution, this paper prop...
Genetics, Population Algorithms Computer Simulation Robotics
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How much off-the-shelf knowledge is transferable from natural images to pathology images?

PloS one Oct 14, 2020
Deep learning has achieved a great success in natural image classification. To overcome data-scarcity in computational pathology, recent studies exploit transfer learning to reuse knowledge gained from natural images in pathology image analysis, aimi...
Pathology Humans Breast Neoplasms Computer Simulation Deep Learning Female Image Processing, Computer-Assisted
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The Challenges of Implementing Artificial Intelligence into Surgical Practice.

World journal of surgery Oct 13, 2020
BACKGROUND: Artificial intelligence is touted as the future of medicine. Classical algorithms for the detection of common bile duct stones (CBD) have had poor clinical uptake due to low accuracy. This study explores the challenges of developing and i...
Adult Male Middle Aged Female Humans Aged Artificial Intelligence Aged, 80 and over Predictive Value of Tests Cholangiopancreatography, Endoscopic Retrograde Machine Learning Acute Disease Bilirubin Liver Function Tests Computer Simulation Biliary Tract Diseases Choledocholithiasis Retrospective Studies
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