Results 51 to 60 of about 621,467 (206)

A multiscale computational framework to evaluate flow alterations during mechanical thrombectomy for treatment of ischaemic stroke

open access: yesFrontiers in Cardiovascular Medicine, 2023
The treatment of ischaemic stroke increasingly relies upon endovascular procedures known as mechanical thrombectomy (MT), which consists in capturing and removing the clot with a catheter-guided stent while at the same time applying external aspiration ...
Ivan Benemerito   +10 more
doaj   +1 more source

In-silico Predictive Mutagenicity Model Generation Using Supervised Learning Approaches [PDF]

open access: yes, 2011
With the advent of High Throughput Screening techniques, it is feasible to filter possible leads from a mammoth chemical space that can act against a particular target and inhibit its action.
Abhik Seal   +4 more
core   +2 more sources

Potential inhibitors of VEGFR1, VEGFR2, and VEGFR3 developed through Deep Learning for the treatment of Cervical Cancer

open access: yesScientific Reports
Cervical cancer stands as a prevalent gynaecologic malignancy affecting women globally, often linked to persistent human papillomavirus infection. Biomarkers associated with cervical cancer, including VEGF-A, VEGF-B, VEGF-C, VEGF-D, and VEGF-E, show ...
Anuraj Nayarisseri   +12 more
doaj   +1 more source

Large Scale In Silico Screening on Grid Infrastructures [PDF]

open access: yes, 2006
Large-scale grid infrastructures for in silico drug discovery open opportunities of particular interest to neglected and emerging diseases. In 2005 and 2006, we have been able to deploy large scale in silico docking within the framework of the WISDOM ...
Breton, V.   +19 more
core   +2 more sources

Risk and reward: extending stochastic glycaemic control intervals to reduce workload

open access: yesBioMedical Engineering OnLine, 2020
Background STAR is a model-based, personalised, risk-based dosing approach for glycaemic control (GC) in critically ill patients. STAR provides safe, effective control to nearly all patients, using 1–3 hourly measurement and intervention intervals ...
Vincent Uyttendaele   +4 more
doaj   +1 more source

Exploring the in silico adaptation of the Nephroblastoma Oncosimulator to MRI scans, treatment data, and histological profiles of patients from different risk groups

open access: yesFrontiers in Physiology
IntroductionNephroblastoma or Wilms’ tumor is the most prevalent type of renal tumor in pediatric oncology. Although the overall survival rate for this condition is excellent today (∼90%), there have been no significant improvements over the past two ...
Marcel Meyerheim   +6 more
doaj   +1 more source

Single nucleotide polymorphisms from Theobroma cacao expressed sequence tags associated with witches' broom disease in cacao [PDF]

open access: yes, 2009
In order to increase the efficiency of cacao tree resistance to witches¿ broom disease, which is caused by Moniliophthora perniciosa (Tricholomataceae), we looked for molecular markers that could help in the selection of resistant cacao genotypes.
Carels, Nicolas   +10 more
core   +1 more source

Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches

open access: yes, 2019
We consider the problem of regulating by means of external control inputs the ratio of two cell populations. Specifically, we assume that these two cellular populations are composed of cells belonging to the same strain which embeds some bistable memory ...
di Bernardo, Mario   +2 more
core   +1 more source

Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy

open access: yesnpj Digital Medicine
Demonstrating cardiovascular (CV) benefits with lipid-lowering therapy (LLT) requires long-term randomized clinical trials (RCTs) with thousands of patients. Innovative approaches such as in silico trials applying a disease computational model to virtual
Yishu Wang   +16 more
doaj   +1 more source

APOBEC-related mutagenesis and neo-peptide hydrophobicity: implications for response to immunotherapy. [PDF]

open access: yes, 2019
Tumor-associated neo-antigens are mutated peptides that allow the immune system to recognize the affected cell as foreign. Cells carrying excessive mutation load often develop mechanisms of tolerance.
Boichard, Amélie   +8 more
core  

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