Exploring the potential of computer simulation models in drug testing and biomedical research: a systematic review

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Pubblicato in:Frontiers in Pharmacology vol. 16 (Sep 2025), p. 1644907-1644928
Autore principale: Mittal, Rahul
Altri autori: Ho, Alan, Adivikolanu, Harini, Sawhney, Muskaan, Lemos, Joana R N, Mittal, Mannat, Hirani, Khemraj
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Frontiers Media SA
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100 1 |a Mittal, Rahul  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States, Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States 
245 1 |a Exploring the potential of computer simulation models in drug testing and biomedical research: a systematic review 
260 |b Frontiers Media SA  |c Sep 2025 
513 |a Systematic Review 
520 3 |a IntroductionThe growing limitations of animal models in drug testing and biomedical research, including ethical concerns, high costs, and poor translational relevance to human biology, have driven increasing interest in computational simulation models. These models encompass in silico approaches, pharmacokinetic/pharmacodynamic frameworks, molecular simulations, and organ-on-chip technologies, offering greater precision in replicating human physiological and pathological processes.MethodsA systematic review was conducted to examine the role of computational simulation models as alternatives to traditional animal-based research. Relevant literature on their applications, predictive accuracy, translational value, and alignment with ethical research practices was analyzed.ResultsComputational models were found to bridge critical gaps in predictive accuracy and translational relevance, supporting drug development pipelines, reducing late-stage failures, and enhancing opportunities for personalized medicine. Additionally, their capacity to reduce reliance on animal models aligns with global ethical initiatives promoting humane and sustainable research practices.DiscussionSimulation-based approaches represent a transformative opportunity for biomedical research. While their potential to reshape drug development and improve health outcomes is evident, challenges such as standardization, scalability, and regulatory integration remain. Addressing these barriers will be essential to fully realize the potential of computational simulation models in replacing or reducing animal testing and advancing human-centered biomedical innovation.Systematic Review Registrationidentifier, INPLASY2024110028. 
610 4 |a Food & Drug Administration--FDA 
653 |a Physiology 
653 |a Accuracy 
653 |a Toxicity 
653 |a Precision medicine 
653 |a Boolean 
653 |a Medical Subject Headings-MeSH 
653 |a Drug testing 
653 |a Biomedical research 
653 |a Drug development 
653 |a Computer simulation 
653 |a Biology 
653 |a Computer applications 
653 |a Medical research 
653 |a Metabolism 
653 |a Ethics 
653 |a Animal models 
653 |a Medical innovations 
653 |a Translation 
653 |a Pharmacokinetics 
653 |a Permeability 
653 |a Bioengineering 
653 |a Pharmacodynamics 
653 |a Mathematical models 
653 |a Systematic review 
700 1 |a Ho, Alan  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States 
700 1 |a Adivikolanu, Harini  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States 
700 1 |a Sawhney, Muskaan  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States 
700 1 |a Lemos, Joana R N  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States, Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States 
700 1 |a Mittal, Mannat  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States 
700 1 |a Hirani, Khemraj  |u Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, United States, Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States 
773 0 |t Frontiers in Pharmacology  |g vol. 16 (Sep 2025), p. 1644907-1644928 
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