AIMC Topic: Computer Simulation

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A Neural Network Finite Element Trileaflet Heart Valve Model Incorporating Multi-Body Contact.

International journal for numerical methods in biomedical engineering
The use of patient-specific computational modeling of cardiovascular diseases has become increasingly popular to improve patient standard of care. Most simulation approaches currently utilize the finite element method (FEM), which is very well establ...

[Mesoscale simulation and AI optimization of bioprocesses].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bio...

[Artificial intelligence-enhanced physics-based computational modeling technologies for proteins].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Computational modeling is an invaluable tool for mechanism analysis, directed engineering, and rational design of biological parts, metabolic networks, and even cellular systems. It can provide new technological solutions to address biological challe...

Active Inference and Intentional Behavior.

Neural computation
Recent advances in theoretical biology suggest that key definitions of basal cognition and sentient behavior may arise as emergent properties of in vitro cell cultures and neuronal networks. Such neuronal networks reorganize activity to demonstrate s...

Consensus statement on the credibility assessment of machine learning predictors.

Briefings in bioinformatics
The rapid integration of machine learning (ML) predictors into in silico medicine has revolutionized the estimation of quantities of interest that are otherwise challenging to measure directly. However, the credibility of these predictors is critical...

Estimating Average Treatment Effects With Support Vector Machines.

Statistics in medicine
Support vector machine (SVM) is one of the most popular classification algorithms in the machine learning literature. We demonstrate that SVM can be used to balance covariates and estimate average causal effects under the unconfoundedness assumption....

Replay as a Basis for Backpropagation Through Time in the Brain.

Neural computation
How episodic memories are formed in the brain is a continuing puzzle for the neuroscience community. The brain areas that are critical for episodic learning (e.g., the hippocampus) are characterized by recurrent connectivity and generate frequent off...

The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study.

Statistics in medicine
INTRODUCTION: Risk prediction models are increasingly used in healthcare to aid in clinical decision-making. In most clinical contexts, model calibration (i.e., assessing the reliability of risk estimates) is critical. Data available for model develo...

A robotics-inspired scanpath model reveals the importance of uncertainty and semantic object cues for gaze guidance in dynamic scenes.

Journal of vision
The objects we perceive guide our eye movements when observing real-world dynamic scenes. Yet, gaze shifts and selective attention are critical for perceiving details and refining object boundaries. Object segmentation and gaze behavior are, however,...

Vision Module for Automatic Tracking on Bedside Intelligent Scope-Holding Surgical Robot System.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study aims to develop an active following technology of the mirror-holding arm of a bedside intelligent surgical robot that enables real-time automatic tracking of surgical instruments.