AIMC Topic: Models, Biological

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Mathematical and numerical tumour development modelling for personalised treatment planning.

Biomechanics and modeling in mechanobiology Apr 8, 2025
This paper presents a mathematical and numerical framework for modelling and parametrising tumour evolution dynamics to enhance computer-aided diagnosis and personalised treatment. The model comprises six differential equations describing cancer cell...
Carcinogenesis Models, Biological Precision Medicine Neoplasms Humans Algorithms Computer Simulation Machine Learning
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Understanding and predicting animal movements and distributions in the Anthropocene.

The Journal of animal ecology Apr 4, 2025
Predicting animal movements and spatial distributions is crucial for our comprehension of ecological processes and provides key evidence for conserving and managing populations, species and ecosystems. Notwithstanding considerable progress in movemen...
Animals Animal Distribution Animal Migration Anthropogenic Effects Models, Biological Conservation of Natural Resources Ecosystem
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An innovative underdriven multi-degree-of-freedom sea turtle hydrofoil design.

Bioinspiration & biomimetics Apr 4, 2025
This study presents a new design for a multi-degree-of-freedom underdriven mechanism. The aim is to achieve efficient bionic motion of a sea turtle hydrofoil with multi-degrees-of-freedom using a single drive source. The design focuses on the kinemat...
Animals Computer-Aided Design Robotics Computer Simulation Equipment Failure Analysis Biomimetics Swimming Turtles Equipment Design Models, Biological
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Addressing model discrepancy in a clinical model of the oxygen dissociation curve.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 2, 2025
Many mathematical models suffer from model discrepancy, posing a significant challenge to their use in clinical decision-making. In this article, we consider methods for addressing this issue. In the first approach, a mathematical model is treated as...
Algorithms Oxygen Models, Biological Humans Neural Networks, Computer Normal Distribution
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A Framework for Parameter Estimation and Uncertainty Quantification in Systems Biology Using Quantile Regression and Physics-Informed Neural Networks.

Bulletin of mathematical biology Mar 28, 2025
A framework for parameter estimation and uncertainty quantification is crucial for understanding the mechanisms of biological interactions within complex systems and exploring their dynamic behaviors beyond what can be experimentally observed. Despit...
Computer Simulation Monte Carlo Method Systems Biology Humans Uncertainty Bayes Theorem Regression Analysis Neural Networks, Computer Mathematical Concepts Models, Biological Algorithms
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Application of Machine Learning and Mechanistic Modeling to Predict Intravenous Pharmacokinetic Profiles in Humans.

Journal of medicinal chemistry Mar 27, 2025
Accurate prediction of new compounds' pharmacokinetic (PK) profile in humans is crucial for drug discovery. Traditional methods, including allometric scaling and mechanistic modeling, rely on parameters from or testing, which are labor-intensive an...
Pharmacokinetics Administration, Intravenous Drug Discovery Pharmaceutical Preparations Models, Biological Humans Machine Learning
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Soft robotic brittle star shows the influence of mass distribution on underwater walking.

Bioinspiration & biomimetics Mar 27, 2025
Most walking organisms tend to have relatively light limbs and heavy bodies in order to facilitate rapid limb motion. However, the limbs of brittle stars (Class Ophiuroidea) are primarily comprised of dense skeletal elements, with potentially much hi...
Animals Robotics Computer Simulation Echinodermata Models, Biological Equipment Design Biomimetics Walking Locomotion
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A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems.

IEEE transactions on bio-medical engineering Mar 21, 2025
This paper proposes a method to learn approximations of missing Ordinary Differential Equations (ODEs) and states in physiological models where knowledge of the system's relevant states and dynamics is incomplete. The proposed method augments known O...
Bayes Theorem Models, Biological Humans Algorithms Computer Simulation Neural Networks, Computer
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Design and application of ISSA-BP neural network model for predicting soft tissue relaxation force.

Acta of bioengineering and biomechanics Mar 18, 2025
: Accurate biomechanical modeling is crucial for enhancing the realism of virtual surgical training. This study addressed the computational cost and complexity associated with traditional viscoelastic models by incorporating neural network algorithms...
Kidney Models, Biological Stomach Stress, Mechanical Animals Neural Networks, Computer Biomechanical Phenomena Swine Algorithms
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A Learnable Prior Improves Inverse Tumor Growth Modeling.

IEEE transactions on medical imaging Mar 17, 2025
Biophysical modeling, particularly involving partial differential equations (PDEs), offers significant potential for tailoring disease treatment protocols to individual patients. However, the inverse problem-solving aspect of these models presents a ...
Brain Neoplasms Deep Learning Magnetic Resonance Imaging Models, Biological Image Processing, Computer-Assisted Humans Algorithms Brain
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