Using mechanistic animal growth models to estimate genetic parameters of biological traits [PDF]
Animal, 2007 Mechanistic animal growth models can incorporate a description of the genotype as represented by underlying biological traits that aim to specify the animal's genetic potential for performance, independent from the environmental factors captured by the ...
A.B. Doeschl-Wilson +3 more
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Training deep neural density estimators to identify mechanistic models of neural dynamics [PDF]
eLife, 2020 Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying causes. However, determining which model parameters agree with complex and stochastic neural data presents a significant challenge.
Pedro J Gonçalves +11 more
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Mechanistic Models of Virus–Bacteria Co-Infections in Humans: A Systematic Review of Methods and Assumptions [PDF]
PathogensBackground: Viral–bacterial co-infections can amplify disease severity through complex biological mechanisms. Mathematical models are critical tools for understanding these threats, but it is unclear how well they capture the underlying biology.
Mani Dhakal +2 more
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Biodiversity Dynamics on Islands: Explicitly Accounting for Causality in Mechanistic Models
Diversity, 2017 Island biogeography remains a popular topic in ecology and has gained renewed interest due to recent theoretical development. As experimental investigation of the theory is difficult to carry out, mechanistic simulation models provide useful alternatives.
Ludwig Leidinger +1 more
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Solving the Evidence Interpretability Crisis in Health Technology Assessment: A Role for Mechanistic Models? [PDF]
Frontiers in Medical Technology, 2022 Health technology assessment (HTA) aims to be a systematic, transparent, unbiased synthesis of clinical efficacy, safety, and value of medical products (MPs) to help policymakers, payers, clinicians, and industry to make informed decisions.
Eulalie Courcelles +7 more
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Mechanistic models project bird invasions with accuracy [PDF]
Nature Communications, 2023 Invasive species pose a major threat to biodiversity and inflict massive economic costs. Effective management of bio-invasions depends on reliable predictions of areas at risk of invasion, as they allow early invader detection and rapid responses.
Diederik Strubbe +5 more
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MEMMAL: A tool for expanding large-scale mechanistic models with machine learned associations and big datasets [PDF]
Frontiers in Systems Biology, 2023 Computational models that can explain and predict complex sub-cellular, cellular, and tissue-level drug response mechanisms could speed drug discovery and prioritize patient-specific treatments (i.e., precision medicine). Some models are mechanistic with
Cemal Erdem +2 more
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Quantifying Uncertainty in Mechanistic Models of Infectious Disease [PDF]
American Journal of Epidemiology, 2021 Lucy D’Agostino McGowan +2 more
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Building and Understanding the Minimal Self
Frontiers in Psychology, 2021 Within the methodologically diverse interdisciplinary research on the minimal self, we identify two movements with seemingly disparate research agendas – cognitive science and cognitive (developmental) robotics.
Valentin Forch, Fred H. Hamker
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Modulating Immune Response in Viral Infection for Quantitative Forecasts of Drug Efficacy
Pharmaceutics, 2023 The antiretroviral drug, the total level of viral production, and the effectiveness of immune responses are the main topics of this review because they are all dynamically interrelated.
Bárbara Costa, Nuno Vale
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