Results 11 to 20 of about 236,648 (327)

Modeling Neurodegeneration in silico With Deep Learning [PDF]

open access: yesFrontiers in Neuroinformatics, 2021
Deep neural networks, inspired by information processing in the brain, can achieve human-like performance for various tasks. However, research efforts to use these networks as models of the brain have primarily focused on modeling healthy brain function ...
Anup Tuladhar   +3 more
semanticscholar   +4 more sources

In silico modeling for tumor growth visualization [PDF]

open access: yesBMC Systems Biology, 2016
BackgroundCancer is a complex disease. Fundamental cellular based studies as well as modeling provides insight into cancer biology and strategies to treatment of the disease. In silico models complement in vivo models. Research on tumor growth involves a
Fleur Jeanquartier   +3 more
semanticscholar   +3 more sources

In-silico modeling of granulomatous diseases [PDF]

open access: yesCurrent Opinion in Pulmonary Medicine, 2016
The pathogenesis of genetically complex granulomatous diseases, such as sarcoidosis and latent tuberculosis, remains largely unknown. With the recent advent of more powerful research tools, such as genome-wide expression platforms, comes the challenge of making sense of the enormous data sets so generated. This manuscript will provide demonstrations of
E. Crouser
semanticscholar   +3 more sources

Semantically Linking in Silico Cancer Models [PDF]

open access: yesCancer Informatics, 2014
Multiscale models are commonplace in cancer modeling, where individual models acting on different biological scales are combined within a single, cohesive modeling framework. However, model composition gives rise to challenges in understanding interfaces and interactions between them.
Johnson, D   +6 more
openaire   +7 more sources

In Silico Hemostasis Modeling and Prediction [PDF]

open access: yesHämostaseologie, 2020
AbstractComputational physiology, i.e., reproduction of physiological (and, by extension, pathophysiological) processes in silico, could be considered one of the major goals in computational biology. One might use computers to simulate molecular interactions, enzyme kinetics, gene expression, or whole networks of biochemical reactions, but it is (patho)
Dmitry Y, Nechipurenko   +3 more
openaire   +2 more sources

Predicting transdermal fentanyl delivery using physics-based simulations for tailored therapy based on the age

open access: yesDrug Delivery, 2022
Transdermal fentanyl patches are an effective alternative to the sustained release of oral morphine for chronic pain management. Due to the narrow therapeutic range of fentanyl, the concentration of fentanyl in the blood needs to be carefully monitored ...
Flora Bahrami   +2 more
doaj   +1 more source

In silico imaging clinical trials: cheaper, faster, better, safer, and more scalable

open access: yesTrials, 2021
Imaging clinical trials can be burdensome and often delay patient access to novel, high-quality medical devices. Tools for in silico imaging trials have significantly improved in sophistication and availability.
Aldo Badano
doaj   +1 more source

Continuum Modeling and Simulation in Bone Tissue Engineering [PDF]

open access: yes, 2019
Bone tissue engineering is currently a mature methodology from a research perspective. Moreover, modeling and simulation of involved processes and phenomena in BTE have been proved in a number of papers to be an excellent assessment tool in the stages ...
Reina Romo, Esther   +1 more
core   +1 more source

A pilot in silico modeling‐based study of the pathological effects on the biomechanical function of tricuspid valves

open access: yesInternational Journal for Numerical Methods in Biomedical Engineering, 2020
Current clinical assessment of functional tricuspid valve regurgitation relies on metrics quantified from medical imaging modalities. Although these clinical methodologies are generally successful, the lack of detailed information about the mechanical ...
Devin W. Laurence   +8 more
semanticscholar   +1 more source

In silico modeling of oxygen-enhanced MRI of specific ventilation. [PDF]

open access: yes, 2018
Specific ventilation imaging (SVI) proposes that using oxygen-enhanced 1H MRI to capture signal change as subjects alternatively breathe room air and 100% O2 provides an estimate of specific ventilation distribution in the lung.
Burrowes, Kelly S   +6 more
core   +1 more source

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