AIMC Topic: Models, Biological

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Biofabrication of 3D bioprinted and organ-on-chip blood-brain barrier models using hCMEC/D3 for intranasal delivery of central nervous system therapeutics.

Biofabrication
The BBB remains a major obstacle to effective treatment of CNS disorders by limiting the entry of most therapeutics into the brain. The hCMEC/D3 is widely used as anin vitromodel to study BBB structure, permeability, and drug transport. In parallel, ...

Fishes Go MOO: Pareto analysis of speed and cost of transport across a 6-dimensional design space.

Bioinspiration & biomimetics
Aquatic organisms exhibit remarkable diversity in swimming strategies, even within shared modes such as body-caudal fin (BCF) propulsion. Here, we investigate the biomechanical underpinnings of BCF swimming by mapping performance trade-offs across a ...

3D organotypic skin models recapitulate autoantibody-driven pemphigus pathomechanisms and targeted therapeutic response.

Science advances
Advanced three-dimensional (3D) tissue models that recapitulate autoimmune disease progression can enable mechanistic studies and accelerate the development of targeted therapies with reduced reliance on systemic immunosuppression. Here, we present a...

Optimization analysis of a bio-inspired robotic fish employing a crank-linkage propulsion system.

Bioinspiration & biomimetics
Modern bio-inspired robotic fish design increasingly focuses on integrating biological inspiration with engineering-oriented structural solutions to enhance locomotion performance and meet practical application demands. Among these, the crank-linkage...

Mechanics of small intestine motility for oral macromolecular delivery: modelling segmentation versus peristalsis.

Drug delivery
Intestinal motility, including peristalsis and segmentation, drives complex fluid movements critical for the oral delivery of biologics and other macromolecules. Despite advances, oral delivery remains commercially limited by low bioavailability, oft...

Representation meets optimization: Training PINNs and PIKANs for gray-box discovery in systems pharmacology.

Computers in biology and medicine
Physics-Informed Kolmogorov-Arnold Networks (PIKANs) have been gaining attention as an effective counterpart to the original multilayer perceptron-based Physics-Informed Neural Networks (PINNs). Both representation models can address inverse problems...

Assembly of Macromolecular Complexes in the Whole-Cell Model of a Minimal Cell.

The journal of physical chemistry. B
Macromolecular complexes in the genetically minimized bacterium, JCVI-syn3A, support gene expression (RNA polymerase, ribosome, degradosome), metabolism (ABC transporters, ATP synthase), and chromosome dynamics. In this work, we further incorporate t...

Catalyzing change in MID3 through globalization, education, and innovation.

Journal of pharmacokinetics and pharmacodynamics
The landscape of pharmaceutical research and drug development is undergoing a significant evolution, with Model-Informed Drug Discovery and Development (MID3) as a transformative approach to accelerate innovation. Realizing the full potential of MID3...

Numerical computation of the stochastic hepatitis B model using feed forward neural network and real data.

Scientific reports
Hepatitis B is a global health burden and can persist for years, with nearly two billion infections worldwide, where its spread is influenced by environmental heterogeneity, host-pathogen interactions, and vaccination-induced immune variability. Prop...

Large-scale modeling of axonal dynamic responses via deep learning.

Biomechanics and modeling in mechanobiology
Large-scale axonal dynamic simulation is critical to study white matter injury but is prohibitive in computational cost. We solve this challenge by training a convolutional neural network (CNN) that takes fiber strain profiles as inputs to instantly ...