Call for papers for Expert Opinion on Drug Metabolism & Toxicology: Innovations in predictive toxicology
Expert Opinion on Drug Metabolism & Toxicology is currently inviting submissions for its latest Article Collection titled ‘Innovations in predictive toxicology’.
Animal-free toxicology methods have become a more compelling choice for chemical safety and risk assessment as researchers, pharmaceutical companies and regulatory policies are shifting away from the use of animals. Consequently, science-based alternative approaches to predicting toxicity in humans — such as in vitro systems, in silico methods, stem cells, and a range of combinatory approaches involving omics and modelling/simulation — is a vibrant and burgeoning field.
With contributions from world-class key opinion leaders across academia and industry, this Article Collection will delve into the latest research, innovative methodologies and advances in predictive toxicology, whilst addressing real-world challenges. We will highlight what key innovations are being made in predicting toxicity to understand human adverse effects of substances, and the current applications that are utilizing these techniques. In addition to this, we will also explore what fundamental hurdles must be overcome to advance their use as decision-support for clinical studies and what future prospects may be on the horizon.
Topics of interest include, but are not limited to:
- Machine learning and AI; data-driven and deep learning approaches to predict toxicology
- In silico modelling; simulations at the molecular level
- Systems pharmacology; network analysis and pathway mapping to predict toxicology
- In vitro methods for studying toxicology
- Pharmacogenomics; studying genetic variations that predict drug toxicology
- Biomarkers and molecular profiles to predict individual responses to drugs
- Future methods for predicting toxicology
This Article Collection welcomes authors to submit Reviews, Original Research, Drug Profiles, and short Editorial articles.
The benefit of publishing as part of an Article Collection is that they often become a key resource, driving a research community forward. This has a synergistic effect on every article in the Collection. The articles often receive more views and higher citation numbers as the Collections receive increased promotion via social media and our marketing team.
Please review the journal’s Aims and Scope and author submission instructions prior to submitting a manuscript.
If you are interested in contributing or would like to learn more, please reach out to the Commissioning Editor: Amelia Dennis ([email protected]).
