Cargando…
Quantitative translational modeling to facilitate preclinical to clinical efficacy & toxicity translation in oncology
Significant scientific advances in biomedical research have expanded our knowledge of the molecular basis of carcinogenesis, mechanisms of cancer growth, and the importance of the cancer immunity cycle. However, despite scientific advances in the understanding of cancer biology, the success rate of...
Autor principal: | Zhu, Andy ZX |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Science Ltd
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961452/ https://www.ncbi.nlm.nih.gov/pubmed/29796306 http://dx.doi.org/10.4155/fsoa-2017-0152 |
Ejemplares similares
-
Mathematical models for translational and clinical oncology
por: Gallasch, Ralf, et al.
Publicado: (2013) -
Predictive Simulations in Preclinical Oncology to Guide the Translation of Biologics
por: Dong, Shujun, et al.
Publicado: (2022) -
Organoids in Translational Oncology
por: Tatullo, Marco, et al.
Publicado: (2020) -
Pharmacologic modulation of RORγt translates to efficacy in preclinical and translational models of psoriasis and inflammatory arthritis
por: Xue, Xiaohua, et al.
Publicado: (2016) -
Quantitative Translation in Immuno‐Oncology Research and Development
por: Bottino, Dean, et al.
Publicado: (2020)