ReviewWiley interdisciplinary reviews. Systems biology and medicine
Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- R&D implementation in a department of laboratory medicine and pathology: a systematic review based on pharmaceutical companies.Global journal of health science · 2015Pooled it
- A global method for fast simulations of molecular dynamics in multiscale agent-based models of biological tissues.iScience · 2022Article
- Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine.Journal of computational biology : a journal of computational molecular cell biology · 2019Article
- Propagation of Pericentral Necrosis During Acetaminophen-Induced Liver Injury: Evidence for Early Interhepatocyte Communication and Information Exchange.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
- How new concepts become universal scientific approaches: insights from citation network analysis of agent-based complex systems science.Proceedings. Biological sciences · 2018Article
- Simulation enabled search for explanatory mechanisms of the fracture healing process.PLoS computational biology · 2018Article
- In silico drug absorption tract: An agent-based biomimetic model for human oral drug absorption.PloS one · 2018Article
- Applying optimization algorithms to tuberculosis antibiotic treatment regimens.Cellular and molecular bioengineering · 2017Article
- Competing Mechanistic Hypotheses of Acetaminophen-Induced Hepatotoxicity Challenged by Virtual Experiments.PLoS computational biology · 2016Article
- Multiscale Modeling in the Clinic: Drug Design and Development.Annals of biomedical engineering · 2016Review
- Virtual Experiments Enable Exploring and Challenging Explanatory Mechanisms of Immune-Mediated P450 Down-Regulation.PloS one · 2016Article
- Agent-Based Modeling in Systems Pharmacology.CPT: pharmacometrics & systems pharmacology · 2015Article
- Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.Cellular and molecular bioengineering · 2015Article
- Article
- Modelling biological behaviours with the unified modelling language: an immunological case study and critique.Journal of the Royal Society, Interface · 2014Article
- Toward modular biological models: defining analog modules based on referent physiological mechanisms.BMC systems biology · 2014Article
- Investigation of inflammation and tissue patterning in the gut using a Spatially Explicit General-purpose Model of Enteric Tissue (SEGMEnT).PLoS computational biology · 2014Article
- Article
- Tuneable resolution as a systems biology approach for multi-scale, multi-compartment computational models.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A crisis continues to brew within the pharmaceutical research and development (R&D) enterprise: productivity continues declining as costs rise, despite ongoing, often dramatic scientific and technical advances. To reverse this trend, we offer various suggestions for both the expansion and broader adoption of modeling and simulation (M&S) methods. We suggest strategies and scenarios intended to enable new M&S use cases that directly engage R&D knowledge generation and build actionable mechanistic insight, thereby opening the door to enhanced productivity. What M&S requirements must be satisfied to access and open the door, and begin reversing the productivity decline? Can current methods and tools fulfill the requirements, or are new methods necessary? We draw on the relevant, recent literature to provide and explore answers. In so doing, we identify essential, key roles for agent-based and other methods. We assemble a list of requirements necessary for M&S to meet the diverse needs distilled from a collection of research, review, and opinion articles. We argue that to realize its full potential, M&S should be actualized within a larger information technology framework--a dynamic knowledge repository--wherein models of various types execute, evolve, and increase in accuracy over time. We offer some details of the issues that must be addressed for such a repository to accrue the capabilities needed to reverse the productivity decline.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.