Results 191 to 200 of about 160,178 (282)

Heterogeneity, reinforcement learning, and chaos in population games. [PDF]

open access: yesProc Natl Acad Sci U S A
Bielawski J   +4 more
europepmc   +1 more source

In silico modelling of multi‐electrode arrays for enhancing cardiac drug testing on hiPSC‐CM heterogeneous tissues

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti   +2 more
wiley   +1 more source

Computational analysis to assess hemodynamic forces in descending thoracic aortic aneurysms

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Left: Pre‐processing. First, we perform the segmentation of the Computer Tomography angiorgraphy (angio‐CT) scans of a healthy patient, obtaining the surface of a healthy thoracic aorta with a Type III aortic arch. Then, we build nine ideal configurations with Descending Thoracic Aortic Aneurysm (DTAA), varying the aortic arch ...
Francesca Duca   +7 more
wiley   +1 more source

Uncertainty quantification via polynomial chaos expansion of myocardial fibre orientation and cardiac activation patterns

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Graphical representation of methods. We implemented three biventricular geometric models (Zenger et al., 2020) with rule‐based myocardial fibre orientations (Bayer et al., 2018). We evaluated variability in the fibre orientation via four sets of parameter distributions to determine the role of the primary and imbrication angles ...
Lindsay C. R. Tanner   +8 more
wiley   +1 more source

Energetic microdomains and the vascular control of neuronal and muscle excitability: Toward a unified model

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend The capillary–mitochondria–ion channel (CMIC) axis scales structural resources to match functional workload. (Left) In settings of restricted energetic capacity (e.g. cortical neurons), sparse capillary networks and modest mitochondrial pools set a lower energetic ceiling, sufficient to support phasic, low‐workload excitability. (
L. Fernando Santana, Scott Earley
wiley   +1 more source

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