Image from Google Jackets

Systems Biomedicine Approaches in Cancer Research [E-Book]

Contributor(s):

Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XI, 163 p. 1 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811919534

Subject(s):

Online resources:

Access resource

Contents:

Chapter 1_Systems Complexity in Cancer -- Chapter 2_Engineered Biotherapeutics through Synthetic Biology in Cancer -- Chapter 3_Cancer Immunotherapy: A Potential Convergence between Systems and Synthetic Biology -- Chapter 4_Cell Based Therapeutic Devices in Cancer -- Chapter 5_Case Studies on Medicinal Plants in Cancer Drug Discovery using System Approaches -- Chapter 7_Metabolic engineering and synthetic biology devices in treating Cancer -- Chapter 8_Cancer Biomarkers in the era of Systems Biology -- Chapter 9_Supervised vs Non-Supervised Learning to Combat Cancer -- Chapter 10_Designing Cancer Biological Systems using Synthetic Engineering -- Chapter 11_Biosystems and Genetic Engineering Tools in Cancer Theranostics -- Chapter 12_Role of HPC in Cancer Informatics -- Chapter 13_Statistical ML for Cancer Therapeutics -- Chapter 14_Data Mining and Knowledge Discovery in Cancer -- Chapter 15_TCGA Data from TensorFlow Optimization.

Summary: This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.

Holdings
Item type	Home library	Class number	URL	Status	Date due	Barcode
Electronic book	Hillingdon Hospitals Library Services (Hillingdon Hospitals NHS Foundation) Online		Link to resource	Available

This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.

There are no comments on this title.

to post a comment.

Back to results

1 Systematic reviews to support evidence-based medicine :
by Khan, Khalid Saeed
2 Qualitative research methods for nurses
by Dingwall, Robert
3 Ethical considerations when preparing a clinical research protocol
by DeRenzo, Evan. G.
4 Translation of evidence into nursing and health care
by White, Kathleen M
5 Development of FDA-regulated medical products :
by Whitmore, Elaine,
6 Clinical trials : a practical guide to design, analysis, and reporting
by Wang, D
7 Design studies for medical research
by Machin, D
8 Medical research, audit and teaching :

Print
Add to your folder (remove)
Unhighlight Highlight
Save record
BIBTEX Dublin Core MARCXML MARC (non-Unicode/MARC-8) MARC (Unicode/UTF-8) MARC (Unicode/UTF-8, Standard) MODS (XML) RIS
More searches

Search for this title in:
Google Scholar Copac British Library NHS Knowledge and Library Hub

Storage	Name	Value	Expiration	Description
Cookie	CGISESSID	Session ID	Until logout or end of session	Session cookie
Cookie	KohaOpacLanguage	Language code	3 years	Stores the language the user selected, so the online catalog will appear in that same language the next time it is visited.
Cookie	form_serialized form_serialized_limits	Search terms and limits	End of session or when the advanced search page is accessed again.	jQuery cookie. Stores search terms and limits of the last advanced search. Set when an advanced search is submitted.
Cookie	search_path_code	ads (fewer) or exs (more)	End of session or when the advanced search page is accessed again.	jQuery cookie. Related to serialized_form* cookies. Stores if the advanced search form was used with 'More options' or 'Fewer options'.
Cookie	num_paragraph	Count of search options added	End of session or when the advanced search page is accessed again.	jQuery cookie. Used to store the number of created options when user selects 'More options' in advanced search to increase search boxes.
Cookie	bib_list	List of record IDs (biblionumbers) separated by /	End of session or until the cart is emptied.	Stores cart contents in the online catalog. Set when records are added to the cart for the first time.