Clinical and Translational Science
Journal Title
- Clinical and Translational Science
ISSN
- E 1752-8062 | P 1752-8054
Publisher
- Wiley-Blackwell
Listed on(Coverage)
| JCR | 2009-2019 |
|---|---|
| SJR | 2009-2019 |
| CiteScore | 2011-2019 |
| SCIE | 2010-2021 |
| SCOPUS | 2017-2020 |
| MEDLINE | 2016-2021 |
| DOAJ | 2017-2021 |
| EMBASE | 2016-2020 |
OA Info.
| OA |
based on the information
|
|---|---|
| Keywords | translational medicine, precision medicine, translational studies, quantitative pharmacology |
| Review Process | Peer review |
| Journal info. pages | |
| Licences | CC BY-NC-ND |
| Copyrights | Yes |
| DOAJ Coverage |
|
| Subject(s) | Medicine: Therapeutics. Pharmacology | Medicine: Public aspects of medicine |
Active
- Active
based on the information
- SCOPUS:2020-10
Country
- USA
Aime & Scopes
- Clinical and Translational Science (CTS), an official journal of the American Society for Clinical Pharmacology and Therapeutics, highlights original translational medicine research that helps bridge laboratory discoveries with the diagnosis and treatment of human disease. Translational medicine is a multi-faceted discipline with a focus on translational therapeutics. In a broad sense, translational medicine bridges across the discovery, development, regulation, and utilization spectrum. Research may appear as Full Articles, Brief Reports, Commentaries, Phase Forwards (clinical trials), Reviews, or Tutorials. CTS also includes invited didactic content that covers the connections between clinical pharmacology and translational medicine. Best-in-class methodologies and best practices are also welcomed as Tutorials. These additional features provide context for research articles and facilitate understanding for a wide array of individuals interested in clinical and translational science. CTS welcomes high quality, scientifically sound, original manuscripts focused on clinical pharmacology and translational science, including animal, in vitro, in silico, and clinical studies supporting the breadth of drug discovery, development, regulation and clinical use of both traditional drugs and innovative modalities. Topics of interest include: /// Translational medicine, including reverse translation, interrogation/evaluation of mechanism-of-action, human physiology, and interruption of disease pathophysiology /// Hypothesis generating non-clinical and clinical studies, including small clinical trials /// Clinical pharmacology studies with a focus on translational research in discovery, development, regulation and use of pharmacologic agents to improve clinical outcome, and inform optimal use of therapeutics in patients /// Evaluation of all categories of biomarkers, including analytical validation, clinical validation, and qualification across modalities (e.g. molecular, histology, imaging, physiology) /// Studies of response to a therapeutic intervention in a particular disease that may translate to a response in another disease, as well as translation of safety signals across species and/or patient populations /// The science and practice of translational medicine, including topics such as models of human disease and their therapeutic implications as well as practical aspects like improvements to study design or conduct and translational medicine methods. /// Studies that guide Phase 2 dose selection /// Studies that demonstrate effective translation between basic and clinical science /// Precision medicine /// Genomic medicine, including pharmacogenomics, next generation sequencing, pharmacometabolomics, and functional genomics /// Big data, real world data, electronic and mobile health applications, as well as wearables /// Informatics, bioinformatics, pharmacoepidemiology, and pharmacoeconomic modeling /// Regulatory and public health policy implications of translational studies /// Quantitative and systems pharmacology, PK/PD model-based and mechanistic understanding of disease biology and pharmacology, as these relate to translational medicine /// Negative results of an important scientific question executed with high quality experimental design and rigorous data analysis, which disproves a hypothesis or produces negative results