AIMC Topic: Models, Biological

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Autoregressive exogenous neural structures for synthetic datasets of olive disease control model with fractional Grünwald-Letnikov solver.

Computers in biology and medicine Feb 5, 2025
A fundamental element of the Mediterranean diet, olive oil is abundant in heart-healthy monounsaturated fats and antioxidants, lowering the risk of cardiovascular diseases. However, the olive oil industry confronts hurdles arising from olive tree dis...
Olea Plant Diseases Plant Leaves Models, Biological Neural Networks, Computer
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Jointed tails enhance control of three-dimensional body rotation.

Journal of the Royal Society, Interface Feb 5, 2025
Tails used as inertial appendages induce body rotations of animals and robots-a phenomenon that is governed largely by the ratio of the body and tail moments of inertia. However, vertebrate tails have more degrees of freedom (e.g. number of joints an...
Robotics Models, Biological Rotation Biomechanical Phenomena Animals Joints Tail
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Leveraging public AI tools to explore systems biology resources in mathematical modeling.

NPJ systems biology and applications Feb 4, 2025
Predictive mathematical modeling is an essential part of systems biology and is interconnected with information management. Systems biology information is often stored in specialized formats to facilitate data storage and analysis. These formats are ...
Artificial Intelligence Software Models, Theoretical Models, Biological Systems Biology Humans
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Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics.

Scientific reports Feb 4, 2025
Development of antibodies often begins with the assessment and optimization of their physicochemical properties, and their efficient engagement with the target of interest. Decisions at the early optimization stage are critical for the success of the...
Antibodies, Monoclonal Antibodies Models, Biological Humans Machine Learning
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Machine Learning for Prediction of Drug Concentrations: Application and Challenges.

Clinical pharmacology and therapeutics Feb 3, 2025
With the advancements in algorithms and increased accessibility of multi-source data, machine learning in pharmacokinetics is gaining interest. This review summarizes studies on machine learning-based pharmacokinetics analysis up to September 2024, i...
Algorithms Pharmaceutical Preparations Pharmacokinetics Models, Biological Humans Neural Networks, Computer Machine Learning
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Evaluating the synergistic use of advanced liver models and AI for the prediction of drug-induced liver injury.

Expert opinion on drug metabolism & toxicology Feb 2, 2025
INTRODUCTION: Drug-induced liver injury (DILI) is a leading cause of acute liver failure. Hepatotoxicity typically occurs only in a subset of individuals after prolonged exposure and constitutes a major risk factor for the termination of drug develop...
Animals Risk Assessment Drug Development Machine Learning Risk Factors Humans Drug Evaluation, Preclinical Liver Models, Biological Chemical and Drug Induced Liver Injury Liver Failure, Acute
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Modeling and control of a sperm-inspired robot with helical propulsion.

Bioinspiration & biomimetics Jan 31, 2025
Efficient propulsion has been a central focus of research in the field of biomimetic underwater vehicles. Compared to the prevalent fish-like reciprocating flapping propulsion mode, the sperm-like helical propulsion mode features higher efficiency an...
Equipment Design Spermatozoa Male Ships Computer Simulation Biomimetics Models, Biological Swimming Computer-Aided Design Animals Robotics Equipment Failure Analysis
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Visual collective behaviors on spherical robots.

Bioinspiration & biomimetics Jan 31, 2025
The implementation of collective motion, traditionally, disregard the limited sensing capabilities of an individual, to instead assuming an omniscient perception of the environment. This study implements a visual flocking model in a 'robot-in-the-loo...
Equipment Design Models, Biological Biomimetics Motion Computer Simulation Animals Robotics
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Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model.

Scientific reports Jan 30, 2025
Various modelling techniques are available to understand the temporal and spatial variations of the phenology of species. Scientists often rely on correlative models, which establish a statistical relationship between a response variable (such as spe...
Mosquito Vectors Spatio-Temporal Analysis Machine Learning Models, Biological Aedes Animals Population Dynamics Seasons
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Optimizing warfarin dosing in diabetic patients through BERT model and machine learning techniques.

Computers in biology and medicine Jan 28, 2025
This study highlights the importance of evaluating warfarin dosing in diabetic patients, who require careful anticoagulation management. With rising rates of diabetes and cardiovascular diseases, understanding the factors influencing warfarin therapy...
Female Aged Humans Male Machine Learning Warfarin Anticoagulants Middle Aged Algorithms Models, Biological Diabetes Mellitus
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