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 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
doaj +3 more sources
A systematic review of mechanistic models used to study avian influenza virus transmission and control. [PDF]
Vet Res, 2023 The global spread of avian influenza A viruses in domestic birds is causing increasing socioeconomic devastation. Various mechanistic models have been developed to better understand avian influenza transmission and evaluate the effectiveness of control ...
Lambert S +5 more
europepmc +3 more sources
The Evolution of Systems Biology and Systems Medicine: From Mechanistic Models to Uncertainty Quantification. [PDF]
Annu Rev Biomed EngUnderstanding interaction mechanisms within cells, tissues, and organisms is crucial for driving developments across biology and medicine. Mathematical modeling is an essential tool for simulating such biological systems.
Qiao L +3 more
europepmc +3 more sources
Quantifying Uncertainty in Mechanistic Models of Infectious Disease. [PDF]
Am J Epidemiol, 2021 This primer describes the statistical uncertainty in mechanistic models and provides R code to quantify it. We begin with an overview of mechanistic models for infectious disease, and then describe the sources of statistical uncertainty in the context of
D'Agostino McGowan L +2 more
europepmc +3 more sources
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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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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
Spatio‐Temporal Comparisons Between Microclimate Species Distribution Models and Mechanistic Models of Potential Surface Activity [PDF]
Ecology and EvolutionWith projected decreases in biodiversity looming due to changing environmental conditions, it is important for conservation managers to have accurate predictions of species' distributions.
Samuel FitzSimons Stickley +3 more
doaj +2 more sources