AI Medical Compendium Topic:
Computer Simulation

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Modeling Production-Living-Ecological Space for Chengdu, China: An Analytical Framework Based on Machine Learning with Automatic Parameterization of Environmental Elements.

International journal of environmental research and public health
Cities worldwide are facing the dual pressures of growing population and land expansion, leading to the intensification of conflicts in urban productive-living-ecological spaces (PLES). Therefore, the question of "how to dynamically judge the differe...

Attention-Based Graph Neural Network for Label Propagation in Single-Cell Omics.

Genes
Single-cell data analysis has been at forefront of development in biology and medicine since sequencing data have been made available. An important challenge in single-cell data analysis is the identification of cell types. Several methods have been ...

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.

Neural networks : the official journal of the International Neural Network Society
This paper investigates a class of power consumption minimization and equalization for intelligent and connected vehicles cooperative system. Accordingly, a distributed optimization problem model related to power consumption and data rate of intellig...

Neural-Network-Based Immune Optimization Regulation Using Adaptive Dynamic Programming.

IEEE transactions on cybernetics
This article investigates optimal regulation scheme between tumor and immune cells based on the adaptive dynamic programming (ADP) approach. The therapeutic goal is to inhibit the growth of tumor cells to allowable injury degree and maximize the numb...

APLUS: A Python library for usefulness simulations of machine learning models in healthcare.

Journal of biomedical informatics
Despite the creation of thousands of machine learning (ML) models, the promise of improving patient care with ML remains largely unrealized. Adoption into clinical practice is lagging, in large part due to disconnects between how ML practitioners eva...

Neural network-based optimization of sub-diffuse reflectance spectroscopy for improved parameter prediction and efficient data collection.

Journal of biophotonics
In this study, a general and systematical investigation of sub-diffuse reflectance spectroscopy is implemented. A Gegenbauer-kernel phase function-based Monte Carlo is adopted to describe photon transport more efficiently. To improve the computationa...

Adaptive fuzzy control of drug delivery in cancer treatment using combination of chemotherapy and antiangiogenic therapy.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
This paper introduces the adaptive fuzzy control scheme as a promising control technique for cancer treatment from a theoretical point of view. A mathematical model describing the dynamics of tumor growth under the drug interventions of chemotherapy ...

A machine learning strategy with clustering under sampling of majority instances for predicting drug target interactions.

Molecular informatics
Drug Target Interactions (DTIs) are crucial in drug discovery as it reduces the range of candidate searches, speeding up the drug screening process. Considering in vitro and in vivo experimentations are time and cost-expensive, there has been a surge...

Video gaming improves robotic surgery simulator success: a multi-clinic study on robotic skills.

Journal of robotic surgery
We aimed to investigate the effects of video game habits, duration of experience, and training in different surgical clinics on the success of robotic surgery simulators. In this prospective, observational, comparative, and multi-clinical study, all ...