Synthetic biomedical data generation in support of In Silico Clinical Trials [PDF]
Living in the era of Big Data, one may advocate that the additional synthetic generation of data is redundant. However, to be able to truly say whether it is valid or not, one needs to focus more on the meaning and quality of data than on the quantity ...
Alena Simalatsar +2 more
doaj +4 more sources
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim [PDF]
Background The last few decades have seen the approval of many new treatment options for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic methodology and criteria.
Fianne L. P. Sips +3 more
doaj +4 more sources
Credibility assessment of in silico clinical trials for medical devices. [PDF]
In silico clinical trials (ISCTs) are an emerging method in modeling and simulation where medical interventions are evaluated using computational models of patients.
Pras Pathmanathan +6 more
doaj +4 more sources
In-Silico Trials for Treatment of Acute Ischemic Stroke
Despite improved treatment, a large portion of patients with acute ischemic stroke due to a large vessel occlusion have poor functional outcome. Further research exploring novel treatments and better patient selection has therefore been initiated.
Praneeta R. Konduri +7 more
doaj +3 more sources
The Virtual Anemia Trial: An Assessment of Model‐Based In Silico Clinical Trials of Anemia Treatment Algorithms in Patients With Hemodialysis [PDF]
In silico approaches have been proposed as a novel strategy to increase the repertoire of clinical trial designs. Realistic simulations of clinical trials can provide valuable information regarding safety and limitations of treatment protocols and have ...
Doris H. Fuertinger +4 more
doaj +2 more sources
A Step‐by‐Step Workflow for Performing In Silico Clinical Trials With Nonlinear Mixed Effects Models [PDF]
In silico clinical trials (ISCT) are computational frameworks that employ mathematical models to generate virtual patients and simulate their responses to new treatments, treatment regimens, or medical devices via simulations mirroring real‐world ...
Javiera Cortés‐Ríos +4 more
doaj +2 more sources
The preclinical identification of drug-induced cardiotoxicity and its translation into human risk are still major challenges in pharmaceutical drug discovery.
Cristian Trovato +4 more
doaj +3 more sources
Early prediction of cardiotoxicity is critical for drug development. Current animal models raise ethical and translational questions, and have limited accuracy in clinical risk prediction.
Elisa Passini +8 more
doaj +3 more sources
Indole: A promising scaffold for the discovery and development of potential anti-tubercular agents
Indole-containing small molecules have been reported to have diverse pharmacological activities. The aromatic heterocyclic scaffold, which resembles various protein structures, has received attention from organic and medicinal chemists.
Nilesh Gajanan Bajad +4 more
doaj +1 more source
Exploring the Power and Promise of In Silico Clinical Trials with Application in COVID-19 Infection
Background: COVID-19 pandemic has dramatically engulfed the world causing catastrophic damage to human society. Several therapeutic and vaccines have been suggested for the disease in the past months, with over 150 clinical trials currently running or ...
Abdelrahman H. Abdelmoneim +4 more
doaj +1 more source

