AIMC Topic: Computer Simulation

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Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2024
Blood coagulation, which involves a group of complex biochemical reactions, is a crucial step in hemostasis to stop bleeding at the injury site of a blood vessel. Coagulation abnormalities, such as hypercoagulation and hypocoagulation, could either c...
Blood Coagulation Computer Simulation Models, Theoretical Humans Neural Networks, Computer
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Deep learning-enabled fluorescence imaging for surgical guidance: training for oral cancer depth quantification.

Journal of biomedical optics Sep 18, 2024
SIGNIFICANCE: Oral cancer surgery requires accurate margin delineation to balance complete resection with post-operative functionality. Current fluorescence imaging systems provide two-dimensional margin assessment yet fail to quantify tumor depth p...
Neural Networks, Computer Computer Simulation Phantoms, Imaging Humans Margins of Excision Deep Learning Image Processing, Computer-Assisted Mouth Neoplasms Optical Imaging Surgery, Computer-Assisted
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FGTN: Fragment-based graph transformer network for predicting reproductive toxicity.

Archives of toxicology Sep 18, 2024
Reproductive toxicity is one of the important issues in chemical safety. Traditional laboratory testing methods are costly and time-consuming with raised ethical issues. Only a few in silico models have been reported to predict human reproductive tox...
Computer Simulation Reproduction Toxicity Tests Quantitative Structure-Activity Relationship Humans Neural Networks, Computer
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Physiological control for left ventricular assist devices based on deep reinforcement learning.

Artificial organs Sep 17, 2024
BACKGROUND: The improvement of controllers of left ventricular assist device (LVAD) technology supporting heart failure (HF) patients has enormous impact, given the high prevalence and mortality of HF in the population. The use of reinforcement learn...
Humans Deep Learning Heart Failure Models, Cardiovascular Heart-Assist Devices Ventricular Function, Left Algorithms Hemodynamics Computer Simulation
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In Silico Insights: QSAR Modeling of TBK1 Kinase Inhibitors for Enhanced Drug Discovery.

Journal of chemical information and modeling Sep 17, 2024
TBK1, or TANK-binding kinase 1, is an enzyme that functions as a serine/threonine protein kinase. It plays a crucial role in various cellular processes, including the innate immune response to viruses, cell proliferation, apoptosis, autophagy, and an...
Models, Molecular Quantitative Structure-Activity Relationship Protein Kinase Inhibitors Drug Discovery Protein Serine-Threonine Kinases Machine Learning Computer Simulation Humans
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Autonomous countertraction for secure field of view in laparoscopic surgery using deep reinforcement learning.

International journal of computer assisted radiology and surgery Sep 16, 2024
PURPOSE: Countertraction is a vital technique in laparoscopic surgery, stretching the tissue surface for incision and dissection. Due to the technical challenges and frequency of countertraction, autonomous countertraction has the potential to signif...
Humans Neural Networks, Computer Reinforcement Machine Learning Laparoscopy Phantoms, Imaging Computer Simulation Deep Learning
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Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing.

Nature communications Sep 16, 2024
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal dynamics are getting wide attention and are being applied to many relevant problems using Machine Learning. Despite a well-established mathematical foundation for neur...
Brain Computer Simulation Machine Learning Software Neurons Models, Neurological Action Potentials Humans Neural Networks, Computer
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ADP-based fault-tolerant consensus control for multiagent systems with irregular state constraints.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2024
This paper investigates the consensus control issue for nonlinear multiagent systems (MASs) subject to irregular state constraints and actuator faults using an adaptive dynamic programming (ADP) algorithm. Unlike the regular state constraints conside...
Nonlinear Dynamics Computer Simulation Neural Networks, Computer Consensus Algorithms
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An adaptive testing item selection strategy via a deep reinforcement learning approach.

Behavior research methods Sep 13, 2024
Computerized adaptive testing (CAT) aims to present items that statistically optimize the assessment process by considering the examinee's responses and estimated trait levels. Recent developments in reinforcement learning and deep neural networks pr...
Reinforcement, Psychology Humans Computer Simulation Deep Learning Neural Networks, Computer
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Comparison of feed-forward control strategies for simplified vertical hopping model with intrinsic muscle properties.

Bioinspiration & biomimetics Sep 12, 2024
To analyse walking, running or hopping motions, models with high degrees of freedom are usually used. However simple reductionist models are advantageous within certain limits. In a simple manner, the hopping motion is generally modelled by a spring-...
Computer Simulation Biomechanical Phenomena Humans Walking Models, Biological Locomotion Muscle, Skeletal Robotics
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