Results 11 to 20 of about 112,390 (279)
The future of in silico trials and digital twins in medicine [PDF]
PNAS NexusAbstract In silico trials and digital twins are emerging as transformative medical technologies, as they offer a unique way to design medical innovations, optimize their application, and evaluate their utility. Their use spans from individual care—appropriating the technology for personalized decision, to population care—presenting an ...
Ehsan Samei
exaly +4 more sources
Frontiers in Physiology, 2017 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
In silico Clinical Trials: A New Dawn in Biomedical Research?
Humana.Mente: Journal of Philosophical Studies, 2016 Nowadays, scientific knowledge seems to be increasingly generated using technological methods, but also governed by technological demands and conducted by new technical ways of learning. In this paper I will analyze an effective example of this new trend
Ilaria Malagrinò
doaj +2 more sources
Metabolic Models, in Silico Trials, and Algorithms. [PDF]
J Diabetes Sci TechnolArtificial pancreas (AP) systems, also called automated insulin delivery systems, have improved the time in range of glucose levels, reduced the daily burden of the user for glucose regulation, and improved their quality of life. Several commercially available AP systems operate in hybrid closed-loop mode that requires manual information from the user ...
Cinar A +17 more
europepmc +4 more sources
Credibility of In Silico Trial Technologies—A Theoretical Framing [PDF]
IEEE Journal of Biomedical and Health Informatics, 2020 Different research communities have developed various approaches to assess the credibility of predictive models. Each approach usually works well for a specific type of model, and under some epistemic conditions that are normally satisfied within that specific research domain.
Marco Viceconti +5 more
openaire +10 more sources
Credibility assessment of in silico clinical trials for medical devices.
PLoS Computational BiologyIn 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 +3 more sources
Frontiers in Physiology, 2022 Atrial fibrillation (AF) inducibility, sustainability and response to pharmacological treatment of individual patients are expected to be determined by their ionic current properties, especially in structurally-healthy atria. Mechanisms underlying AF and
Albert Dasí +5 more
doaj +1 more source
In silico imaging clinical trials: cheaper, faster, better, safer, and more scalable
Trials, 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
In silico trials for treatment of acute ischemic stroke: Design and implementation [PDF]
Computers in Biology and Medicine, 2021 An in silico trial simulates a disease and its corresponding therapies on a cohort of virtual patients to support the development and evaluation of medical devices, drugs, and treatment. In silico trials have the potential to refine, reduce cost, and partially replace current in vivo studies, namely clinical trials and animal testing.
Claire Miller +7 more
openaire +6 more sources
Artificial Intelligence for In Silico Clinical Trials: A Review
CoRR, 2022 A clinical trial is an essential step in drug development, which is often costly and time-consuming. In silico trials are clinical trials conducted digitally through simulation and modeling as an alternative to traditional clinical trials. AI-enabled in silico trials can increase the case group size by creating virtual cohorts as controls. In addition,
Zifeng Wang 0008 +3 more
openaire +2 more sources