Results 31 to 40 of about 112,390 (279)

In silico and in vitro drug screening identifies new therapeutic approaches for Ewing sarcoma. [PDF]

open access: yes, 2016
The long-term overall survival of Ewing sarcoma (EWS) patients remains poor; less than 30% of patients with metastatic or recurrent disease survive despite aggressive combinations of chemotherapy, radiation and surgery.
Alturkmani, Hani   +11 more
core   +3 more sources

In silico clinical trials for pediatric orphan diseases [PDF]

open access: yesScientific Reports, 2018
AbstractTo date poor treatment options are available for patients with congenital pseudarthrosis of the tibia (CPT), a pediatric orphan disease. In this study we have performed anin silicoclinical trial on 200 virtual subjects, generated from a previously established model of murine bone regeneration, to tackle the challenges associated with the small,
Carlier, A.   +4 more
openaire   +2 more sources

Use of Artificial Intelligence to Identify New Mechanisms and Approaches to Therapy of Bone Disorders Associated With Chronic Kidney Disease

open access: yesFrontiers in Medicine, 2022
Chronic kidney disease (CKD) leads to clinically severe bone loss, resulting from the deranged mineral metabolism that accompanies CKD. Each individual patient presents a unique combination of risk factors, pathologies, and complications of bone disease.
Adam E. Gaweda   +5 more
doaj   +1 more source

Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity. [PDF]

open access: yes, 2013
A crisis continues to brew within the pharmaceutical research and development (R&D) enterprise: productivity continues declining as costs rise, despite ongoing, often dramatic scientific and technical advances. To reverse this trend, we offer various
Hunt, C. Anthony   +4 more
core   +2 more sources

Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB

open access: yesBMC Bioinformatics, 2020
Background In 2018, about 10 million people were found infected by tuberculosis, with approximately 1.2 million deaths worldwide. Despite these numbers have been relatively stable in recent years, tuberculosis is still considered one of the top 10 ...
Giulia Russo   +10 more
doaj   +1 more source

Three-dimensional simulations of embolic stroke and an equation for sizing emboli from imaging

open access: yesScientific Reports, 2023
Stroke simulations are needed to run in-silico trials, develop hypotheses for clinical studies and to interpret ultrasound monitoring and radiological imaging.
James P. Hague   +5 more
doaj   +1 more source

In Silico Clinical Trials in Drug Development: A Systematic Review. [PDF]

open access: yesTher Innov Regul Sci
Abstract In the context of clinical research, computational models have received increasing attention over the past decades. In this systematic review, we aimed to provide an overview of the role of so-called in silico clinical trials (ISCTs) in medical applications ...
Chen B   +17 more
europepmc   +8 more sources

In silico clinical trials: how computer simulation will transform the biomedical industry [PDF]

open access: yes, 2016
The term ‘in silico clinical trials indicates the use of individualised computer simulation in the development or regulatory evaluation of a medicinal product, medical device, or medical intervention.
Henney, A.   +2 more
core   +1 more source

In Silico screening of nonsteroidal anti-inflammatory drugs and their combined action on Prostaglandin H Synthase-1 [PDF]

open access: yes, 2010
The detailed kinetic model of Prostaglandin H Synthase-1 (PGHS-1) was applied to in silico screening of dose-dependencies for the different types of nonsteroidal anti-inflammatory drugs (NSAIDs), such as: reversible/irreversible, nonselective/selective ...
Demin, Oleg   +5 more
core   +5 more sources

Computational modeling and simulation in oncology

open access: yesClinical and Translational Medicine
Computational modeling and simulation are playing an increasingly important role in oncology, bridging biological research, data science and clinical practice to better understand cancer complexity and inform therapeutic development.
Christian Baumgartner
doaj   +2 more sources

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