AIMC Topic: Models, Biological

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Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.

Translational research : the journal of laboratory and clinical medicine
Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure and mortality rates of ∼40%, remains a significant challenge in critical care medicine. Despite advances in supportive care, accurate prediction of AR...

Machine learning in biofluid mechanics: A review of recent developments.

Computers in biology and medicine
This review paper comprehensively examines recent advancements in machine learning (ML) applications within biofluid mechanics, with a targeted focus on enabling clinically actionable diagnostics and simulations. It demonstrates how ML, and in partic...

The role of mathematical models in prediction of osteoarthritis development.

Computers in biology and medicine
In the paper we presented the review of mathematical and numerical models of osteoarthritis (OA). As angiogenesis seems to be the most principal factor in OA mathematical and numerical modelling, we focused on the models that consider the process. Th...

Predictive Modeling of Human Skin Deformation and Growth During Tissue Expansion in Postmastectomy Breast Reconstruction.

Journal of biomechanical engineering
Breast reconstruction using tissue expanders is the primary treatment option following mastectomy. Although skin growth in response to chronic supra-physiological stretch is well-established, individual patient factors such as breast shape, volume, s...

A Modular, Mechanical Knee Model for the Development and Validation of Robotic Testing Methodologies.

Journal of biomechanical engineering
Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the biomechanics of cadaveric knees. However, it can be challenging to use cadaveric knees to validate robotic testing methodologies and to compare methodol...

Simulation of a Free Boundary Cell Migration Model through Physics Informed Neural Networks.

Journal of the mechanical behavior of biomedical materials
Understanding the complexities of single-cell migration is facilitated by computational modeling, which provides important insights into the physiological processes that underlie migration mechanisms. This study developed a computational model for on...

Virtual Cell Challenge: Toward a Turing test for the virtual cell.

Cell
Virtual cells are an emerging frontier at the intersection of artificial intelligence and biology. A key goal of these cell state models is predicting cellular responses to perturbations. The Virtual Cell Challenge is being established to catalyze pr...

The dawn of a new era: can machine learning and large language models reshape QSP modeling?

Journal of pharmacokinetics and pharmacodynamics
Quantitative Systems Pharmacology (QSP) has emerged as a cornerstone of modern drug development, providing a robust framework to integrate data from preclinical and clinical studies, enhance decision-making, and optimize therapeutic strategies. By mo...

Real-time integrated modeling of soft tissue deformation and stress based on deep learning.

Physics in medicine and biology
. Accurately and in real-time simulating soft tissue deformation and visualizing stress distribution are crucial for advancing surgical simulators closer to real surgical environments. The concept of using neural networks to accelerate the finite ele...

Exploring nanoparticles in lungs under COPD conditions for nanospray drug flow and deposition: CFD simulations and AI predictions.

International journal of pharmaceutics
Chronic obstructive pulmonary disease (COPD) plays a heavy burden on individuals and the social health system, not only causing direct medical costs but also economic losses. Today, treatments for COPD include drugs, bronchodilators, and oxygen thera...