Frontiers in Clinical Drug Research - Anti-Cancer Agents
Nonfiction, Science & Nature, Science, Chemistry, Clinical
| Author: | ISBN: | 9781681080727 | |
| Publisher: | Bentham Science Publishers | Publication: | July 9, 2015 |
| Imprint: | Bentham eBook | Language: | English |
| Author: | |
| ISBN: | 9781681080727 |
| Publisher: | Bentham Science Publishers |
| Publication: | July 9, 2015 |
| Imprint: | Bentham eBook |
| Language: | English |
Frontiers in Clinical Drug Research - Anti-Cancer Agents should prove to be a valuable resource for pharmaceutical scientists and postgraduate students seeking updated and critical information for developing clinical trials and devising research plans in the field. The chapters featured in each volume are written by leading experts in oncology and clinical pharmacology. The eBook series is essential reading for all scientists involved in clinical drug research who wish to keep abreast of rapid and important developments in the development of anti-cancer agents.The contents of this volume include reviews on dendrimers for anti-cancer drug delivery, treatment methods for advanced cutaneous squamous cell carcinoma, targeting heat shock proteins for cancer treatment, Bayesian systems for optimizing treatment protocols in oncology and much more.
Frontiers in Clinical Drug Research - Anti-Cancer Agents should prove to be a valuable resource for pharmaceutical scientists and postgraduate students seeking updated and critical information for developing clinical trials and devising research plans in the field. The chapters featured in each volume are written by leading experts in oncology and clinical pharmacology. The eBook series is essential reading for all scientists involved in clinical drug research who wish to keep abreast of rapid and important developments in the development of anti-cancer agents.The contents of this volume include reviews on dendrimers for anti-cancer drug delivery, treatment methods for advanced cutaneous squamous cell carcinoma, targeting heat shock proteins for cancer treatment, Bayesian systems for optimizing treatment protocols in oncology and much more.
