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Clinical and Translational Science is a peer-reviewed journal published by Wiley, covering Health and Medical Research Impacts, Pharmacogenetics and Drug Metabolism, Health Systems, Economic Evaluations, Quality of Life.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Clinical and Translational Science 12 (3): 45–58.
Formats any DOI in Clinical and Translational Science style. No sign-up. |
| Publishes research in | Health and Medical Research Impacts Pharmacogenetics and Drug Metabolism Health Systems, Economic Evaluations, Quality of Life Statistical Methods in Clinical Trials Pharmaceutical studies and practices |
| ISSN | 1752-8054 |
| Citation impact (2-yr) | 4.41 |
| h-index | 83 |
| i10-index | 1,236 |
| Total citations | 50,829 |
| Article processing charge | $3,300 |
| Open access | Yes |
| Top institutions publishing here | Thomas Jefferson University |
| Journal website | ascpt.onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision medicine methods identify phenotypes of patients with less-common responses to treatment or unique healthcare needs. AI leverages sophisticated computation and inference to generate insights, enables the system to reason and learn, and empowers clinician decision making through augmented intelligence. Recent…
Advances in clinical and translation science are facilitated by building on prior knowledge gained through experimentation and observation. In the context of drug development, preclinical studies are followed by a progression of phase I through phase IV clinical trials. At each step, the study design and statistical strategies are framed around research questions that are…
Despite increasing interest in using Artificial Intelligence (AI) and Machine Learning (ML) models for drug development, effectively interpreting their predictions remains a challenge, which limits their impact on clinical decisions. We address this issue by providing a practical guide to SHapley Additive exPlanations (SHAP), a popular feature-based interpretability method, which can be seamlessly integrated into…
Translating CYP2D6 genotype to metabolizer phenotype is not standardized across clinical laboratories offering pharmacogenetic (PGx) testing and PGx clinical practice guidelines, such as the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the Dutch Pharmacogenetics Working Group (DPWG). The genotype to phenotype translation discordance between laboratories and guidelines can cause discordant cytochrome P450 2D6 (CYP2D6) phenotype assignments…
A number of commentaries have suggested that large studies are more reliable than smaller studies and there is a growing interest in the analysis of "big data" that integrates information from many thousands of persons and/or different data sources. We consider a variety of biases that are likely in the era of big data, including…
