Understanding the Cure of Cancer via Biostatistics Method
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Communication and Informatics".
Deadline for manuscript submissions: closed (30 March 2023) | Viewed by 2240
Special Issue Editor
Special Issue Information
Dear Colleagues,
The treatment of cancer is evolving through collaborations of multi-disciplinary expertise, which aids in the translation of research into clinical benefits. Biostatistical methods are essential to the establishment of elaborate designs, analyses and interpretations for drug development and repositioning and the systematic prediction of responses. In recent years, the drug profiles of preclinical model systems of cancer such as organoids and patient-derived xenografts have been actively used to explain drug-response heterogeneity and discover novel cancer subtypes and biomarkers. With the availability of multiomic data along with the drug response profiles in these preclinical models, precision oncology that implements genomic-based diagnosis and treatment guidance is rapidly transforming the cures for cancer. The key elements of broad and equitable access to novel cancer therapies will depend on country-specific health care systems as well as particular patient subgroups. However, global challenges exist in the translation of the recent advancements in cancer treatment and the improvement of cancer outcomes at the population level. The main scope of this Special Issue is to highlight real-world evidence that describes the analysis of data via biostatistics methods.
Prof. Dr. Min Jin Ha
Guest Editor
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Keywords
- biostatistics
- cancer research
- real-world data analysis
- drug-response
- heterogeneity
- biomarker
- subtype
- prediction
- data integration
- precision medicine
- cancer outcome
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