AIMC Topic: Computer Simulation

Clear Filters Showing 3321 to 3330 of 3881 articles

A novel in silico approach for predicting unbound brain-to-plasma ratio using machine learning-based support vector regression.

Computers in biology and medicine Jun 1, 2025
The blood-brain barrier (BBB) functions as a vital protective mechanism, restricting the entry of substances and xenobiotics into the central nervous system (CNS). Consequently, BBB penetration is a critical aspect of absorption, distribution, metabo...
Humans Machine Learning Support Vector Machine Models, Biological Brain Computer Simulation Blood-Brain Barrier
View on PubMed DOI

A Global Visual Information Intervention Model for Medical Visual Question Answering.

Computers in biology and medicine Jun 1, 2025
Medical Visual Question Answering (Med-VQA) aims to furnish precise responses to clinical queries related to medical imagery. While its transformative potential in healthcare is undeniable, current solutions remain nascent and are yet to see widespre...
Humans Diagnostic Imaging Machine Learning Computer Simulation
View on PubMed DOI

A deep learning framework leveraging spatiotemporal feature fusion for electrophysiological source imaging.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVES: Electrophysiological source imaging (ESI) is a challenging technique for noninvasively measuring brain activity, which involves solving a highly ill-posed inverse problem. Traditional methods attempt to address this challen...
Signal-To-Noise Ratio Spatio-Temporal Analysis Algorithms Humans Brain Deep Learning Brain Mapping Neural Networks, Computer Computer Simulation Image Processing, Computer-Assisted Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

Deep reinforcement learning for Type 1 Diabetes: Dual PPO controller for personalized insulin management.

Computers in biology and medicine Jun 1, 2025
BACKGROUND: Managing blood glucose levels in Type 1 Diabetes Mellitus (T1DM) is essential to prevent complications. Traditional insulin delivery methods often require significant patient involvement, limiting automation. Reinforcement Learning (RL)-b...
Insulin Infusion Systems Pancreas, Artificial Hypoglycemic Agents Reinforcement Machine Learning Computer Simulation Precision Medicine Female Humans Blood Glucose Insulin Diabetes Mellitus, Type 1 Adult Male Deep Learning
View on PubMed DOI

Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis.

Computer methods and programs in biomedicine Jun 1, 2025
OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage remains debated. This study aims to determine the optimal multi-stage fluid resuscitation dosage for sepsis patients.
Neural Networks, Computer Algorithms Computer Simulation Deep Learning Sepsis Fluid Therapy Humans
View on PubMed DOI

Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models.

IEEE transactions on neural networks and learning systems Jun 1, 2025
The brain is able to acquire and store memories of everyday experiences in real-time. It can also selectively forget information to facilitate memory updating. However, our understanding of the underlying mechanisms and coordination of these processe...
Brain Computer Simulation Humans Action Potentials Neural Networks, Computer Neurons Models, Neurological Memory
View on PubMed DOI

STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks.

IEEE transactions on neural networks and learning systems Jun 1, 2025
Spiking neural networks (SNNs) are biologically plausible models known for their computational efficiency. A significant advantage of SNNs lies in the binary information transmission through spike trains, eliminating the need for multiplication opera...
Algorithms Computer Simulation Feedback Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons Animals Machine Learning Time Factors Neuronal Plasticity
View on PubMed DOI

From human hand joints to continuum robot: how articular surface morphology shapes flexibility and stability in template-based designs.

Bioinspiration & biomimetics May 27, 2025
The design of continuum robots often involves a dilemma between flexibility and stiffness, where increased flexibility may reduce stiffness and control precision. The human hand achieves both power grasp and precision grasp by leveraging different jo...
Hand Joints Range of Motion, Articular Finite Element Analysis Thumb Computer Simulation Biomechanical Phenomena Robotics Equipment Design Models, Biological Humans Biomimetics
View on PubMed DOI

Development of time to event prediction models using federated learning.

BMC medical research methodology May 26, 2025
BACKGROUND: In a wide range of diseases, it is necessary to utilize multiple data sources to obtain enough data for model training. However, performing centralized pooling of multiple data sources, while protecting each patients' sensitive data, can ...
Hodgkin Disease Federated Learning Survival Analysis Proportional Hazards Models Humans Machine Learning Algorithms Computer Simulation Time Factors Models, Statistical
View on PubMed DOI

Modeling rapid language learning by distilling Bayesian priors into artificial neural networks.

Nature communications May 20, 2025
Humans can learn languages from remarkably little experience. Developing computational models that explain this ability has been a major challenge in cognitive science. Existing approaches have been successful at explaining how humans generalize rapi...
Language Learning Bayes Theorem Humans Neural Networks, Computer Computer Simulation
View on PubMed DOI
Popular Topics
Recent Journals