AIMC Topic: Models, Biological

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Biophysical versus machine learning models for predicting rectal and skin temperatures in older adults.

Journal of thermal biology Feb 22, 2025
This study compares the efficacy of machine learning models to traditional biophysical models in predicting rectal (T) and skin (T) temperatures of older adults (≥60 years) during prolonged heat exposure. Five machine learning models were trained on ...
Skin Temperature Male Female Middle Aged Aged Models, Biological Humans Rectum Aged, 80 and over Body Temperature Machine Learning Hot Temperature
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Plant-inspired decentralized controller for robust orientation control of soft robotic manipulators.

Bioinspiration & biomimetics Feb 20, 2025
Due to the complexity of deformations in soft manipulators, achieving precise control of their orientation is particularly challenging, especially in the presence of external disturbances and human interactions. Inspired by the decentralized growth m...
Humans Robotics Computer Simulation Equipment Design Biomimetics Models, Biological Gravitropism
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Coupling flux balance analysis with reactive transport modeling through machine learning for rapid and stable simulation of microbial metabolic switching.

Scientific reports Feb 19, 2025
Integrating genome-scale metabolic networks with reactive transport models (RTMs) provides a detailed description of the dynamic changes in microbial growth and metabolism. Despite promising demonstrations in the past, computational inefficiency has ...
Machine Learning Computer Simulation Metabolic Networks and Pathways Neural Networks, Computer Models, Biological Shewanella Metabolic Flux Analysis
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Upstroke wing clapping in bats and bat-inspired robots offers efficient lift generation.

Journal of the Royal Society, Interface Feb 19, 2025
Wing articulation is critical for the efficient flight of bird- and bat-sized animals. Inspired by the flight of , the lesser short-nosed fruit bat, we built a two-degree-of-freedom flapping wing platform with variable wing folding capability. In the...
Flight, Animal Models, Biological Wings, Animal Chiroptera Biomechanical Phenomena Animals Robotics
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A wing-flapping robot with a bio-inspired folding mechanism derived from the beetle's hind wing.

Bioinspiration & biomimetics Feb 14, 2025
When the beetle lands on the target, the hind wings fold regularly to form smaller wing packages and are hidden on the ventral side of the elytra due to the interaction between the elytra and abdomen. Its complex folding pattern is attributed to the ...
Animals Computer-Aided Design Robotics Computer Simulation Biomimetics Biomimetic Materials Coleoptera Equipment Design Aircraft Models, Biological Wings, Animal Equipment Failure Analysis Flight, Animal
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Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern.

PLoS computational biology Feb 14, 2025
With the ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its increasing adaptation to humans, several variants of concern (VOCs) and variants of interest (VOIs) have been identified since late 2020. These include...
Neural Networks, Computer COVID-19 Algorithms Computer Simulation SARS-CoV-2 Computational Biology Humans Models, Biological British Columbia
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Resilience of hierarchical actuators highlighted by a myosin-to-muscle mock-up.

Bioinspiration & biomimetics Feb 10, 2025
Skeletal muscle is the main actuator of various families of vertebrates (mammals, fish, reptiles). It displays remarkable robustness to micro-damage, that supposedly originates both from its redundant hierarchical structure and its nervous command. A...
Robotics Equipment Design Models, Biological Animals Computer-Aided Design Biomimetics Equipment Failure Analysis Muscle, Skeletal Computer Simulation Muscle Contraction Elastic Modulus Biomimetic Materials Myosins
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Prediction of the Extent of Blood-Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model.

Pharmaceutical research Feb 10, 2025
INTRODUCTION: The unbound brain-to-plasma partition coefficient (K) is an essential parameter for predicting central nervous system (CNS) drug disposition using physiologically-based pharmacokinetic (PBPK) modeling. K values for specific compounds ar...
Quantitative Structure-Activity Relationship Animals Rats Pharmaceutical Preparations Algorithms Models, Biological Machine Learning Brain Biological Transport Blood-Brain Barrier Central Nervous System Agents
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A numerical treatment through Bayesian regularization neural network for the chickenpox disease model.

Computers in biology and medicine Feb 8, 2025
OBJECTIVES: The current research investigations designates the numerical solutions of the chickenpox disease model by applying a proficient optimization framework based on the artificial neural network. The mathematical form of the chickenpox disease...
Models, Biological Chickenpox Neural Networks, Computer Animals Bayes Theorem Humans
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Comparing Scientific Machine Learning With Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations.

CPT: pharmacometrics & systems pharmacology Feb 7, 2025
A variety of classical machine learning (ML) approaches has been developed over the past decade aiming to individualize drug dosages based on measured plasma concentrations. However, the interpretability of these models is challenging as they do not ...
Pharmacokinetics Sunitinib Humans Machine Learning Models, Biological Fluorouracil
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