AIMC Topic:
Computer Simulation

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LV-GAN: A deep learning approach for limited-view optoacoustic imaging based on hybrid datasets.

Journal of biophotonics Nov 3, 2020
The optoacoustic imaging (OAI) methods are rapidly evolving for resolving optical contrast in medical imaging applications. In practice, measurement strategies are commonly implemented under limited-view conditions due to oversized image objectives o...
Deep Learning Image Processing, Computer-Assisted Diagnostic Imaging Artifacts Computer Simulation
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A recurrent neural network framework for flexible and adaptive decision making based on sequence learning.

PLoS computational biology Nov 3, 2020
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. This is anal...
Task Performance and Analysis Reinforcement, Psychology Computational Biology Models, Neurological Decision Making Models, Statistical Natural Language Processing Bayes Theorem Reward Brain Computer Simulation Learning Animals Humans Neural Networks, Computer
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Network inference from population-level observation of epidemics.

Scientific reports Nov 2, 2020
Using the continuous-time susceptible-infected-susceptible (SIS) model on networks, we investigate the problem of inferring the class of the underlying network when epidemic data is only available at population-level (i.e., the number of infected ind...
Neural Networks, Computer Communicable Diseases Computer Simulation Models, Statistical Humans Bayes Theorem Epidemics Population
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Transfer learning enables prediction of CYP2D6 haplotype function.

PLoS computational biology Nov 2, 2020
Cytochrome P450 2D6 (CYP2D6) is a highly polymorphic gene whose protein product metabolizes more than 20% of clinically used drugs. Genetic variations in CYP2D6 are responsible for interindividual heterogeneity in drug response that can lead to drug ...
Neural Networks, Computer Phenotype Computer Simulation Deep Learning Humans Base Sequence Supervised Machine Learning Polymorphism, Genetic Alleles Pharmacogenomic Testing Computational Biology Microsomes, Liver Cytochrome P-450 CYP2D6 DNA Haplotypes Pharmaceutical Preparations
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Learning and interpreting the gene regulatory grammar in a deep learning framework.

PLoS computational biology Nov 2, 2020
Deep neural networks (DNNs) have achieved state-of-the-art performance in identifying gene regulatory sequences, but they have provided limited insight into the biology of regulatory elements due to the difficulty of interpreting the complex features...
Models, Genetic Transcription Factors Databases, Genetic Neural Networks, Computer Binding Sites Terminology as Topic Gene Regulatory Networks Computer Simulation Enhancer Elements, Genetic Mice Animals Genes, Regulator Computational Biology Deep Learning
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Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care.

Journal of healthcare engineering Oct 29, 2020
COVID-19 presents an urgent global challenge because of its contagious nature, frequently changing characteristics, and the lack of a vaccine or effective medicines. A model for measuring and preventing the continued spread of COVID-19 is urgently re...
Physical Distancing Computer Simulation Biomedical Engineering COVID-19 Female Humans Male Disease Susceptibility Algorithms SARS-CoV-2 Machine Learning Saudi Arabia Basic Reproduction Number Forecasting Pandemics Models, Biological Stochastic Processes Delivery of Health Care Quarantine
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Kernel methods and their derivatives: Concept and perspectives for the earth system sciences.

PloS one Oct 29, 2020
Kernel methods are powerful machine learning techniques which use generic non-linear functions to solve complex tasks. They have a solid mathematical foundation and exhibit excellent performance in practice. However, kernel machines are still conside...
Humans Machine Learning Earth Sciences Computer Simulation Support Vector Machine Normal Distribution Entropy
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On the many-body nature of intramolecular forces in FFLUX and its implications.

Journal of computational chemistry Oct 27, 2020
FFLUX is a biomolecular force field under construction, based on Quantum Chemical Topology (QCT) and machine learning (kriging), with a minimalistic and physically motivated design. A detailed analysis of the forces within the kriging models as treat...
Machine Learning Computer Simulation Water Models, Chemical
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The use of machine learning improves the assessment of drug-induced driving behaviour.

Accident; analysis and prevention Oct 27, 2020
RATIONALE: Car-driving performance is negatively affected by the intake of alcohol, tranquillizers, sedatives and sleep deprivation. Although several studies have shown that the standard deviation of the lateral position on the road (SDLP) is sensiti...
Male Accidents, Traffic Psychomotor Performance Driving Under the Influence Female Humans Young Adult Machine Learning Adult Computer Simulation
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Multi-band MR fingerprinting (MRF) ASL imaging using artificial-neural-network trained with high-fidelity experimental data.

Magnetic resonance in medicine Oct 26, 2020
PURPOSE: We aim to leverage the power of deep-learning with high-fidelity training data to improve the reliability and processing speed of hemodynamic mapping with MR fingerprinting (MRF) arterial spin labeling (ASL).
Humans Neural Networks, Computer Computer Simulation Female Arteries Kinetics Cerebrovascular Circulation Male Perfusion Spin Labels Healthy Volunteers Reproducibility of Results Hemodynamics Data Compression Gray Matter Young Adult Moyamoya Disease Magnetic Resonance Imaging Brain Mapping Adult
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