The increasing use of biomarkers in cancer have led to the concept of personalized medicine for patients. Personalized medicine provides better diagnosis and treatment options available to clinicians. Radiological imaging techniques provide an opportunity to deliver unique data on different types of tissue. However, obtaining useful information from all radiological data is challenging in the…
Expert Review of Precision Medicine and Drug Development Template
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About the Expert Review of Precision Medicine and Drug Development format
Expert Review of Precision Medicine and Drug Development is a peer-reviewed journal published by Taylor & Francis, covering Cancer Genomics and Diagnostics, Cancer Immunotherapy and Biomarkers, Lung Cancer Treatments and Mutations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Numbered (Vancouver/NLM) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Expert Review of Precision Medicine and Drug Development. 2023;12(3):45–58.
Formats any DOI in Expert Review of Precision Medicine and Drug Development style. No sign-up. |
| Publishes research in | Cancer Genomics and Diagnostics Cancer Immunotherapy and Biomarkers Lung Cancer Treatments and Mutations Pharmacogenetics and Drug Metabolism Colorectal Cancer Treatments and Studies |
| ISSN | 2380-8993 |
| Citation impact (2-yr) | 2.9 |
| h-index | 22 |
| i10-index | 70 |
| Total citations | 3,060 |
| Top institutions publishing here | IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Expert Review of Precision Medicine and Drug Development per year
Citation impact of Expert Review of Precision Medicine and Drug Development by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Expert Review of Precision Medicine and Drug Development
INTRODUCTION: The radiological reading room is undergoing a paradigm shift to a symbiosis of computer science and radiology using artificial intelligence integrated with machine and deep learning with radiomics to better define tissue characteristics. The goal is to use integrated deep learning and radiomics with radiological parameters to produce a personalized diagnosis for a patient.…
Introduction: The advancement of precision medicine into routine clinical practice has been highlighted as an agenda for national and international health care policy. A principle barrier to this advancement is in meeting requirements of the payer or reimbursement agency for health care. This special report aims to explain the economic case for precision medicine, by…
INTRODUCTION: Big-data-driven drug development resources and methodologies have been evolving with ever-expanding data from large-scale biological experiments, clinical trials, and medical records from participants in data collection initiatives. The enrichment of biological- and clinical-context-specific large-scale data has enabled computational inference more relevant to real-world biomedical research, particularly identification of therapeutic targets and drugs for specific…
INTRODUCTION: Epigenetics is the study of reversible modifications to chromatin and their extensive and profound effects on gene regulation. To date, the role of epigenetics in personalized medicine has been under-explored. Therefore, this review aims to highlight the vast potential that epigenetics holds. AREAS COVERED: We first review the cell-specific nature of epigenetic states and…