| Chapter title |
Systems Hematology: An Introduction.
|
|---|---|
| Chapter number | 1 |
| Book title |
A Systems Biology Approach to Blood
|
| Published in |
Advances in experimental medicine and biology, January 2014
|
| DOI | 10.1007/978-1-4939-2095-2_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2094-5, 978-1-4939-2095-2
|
| Authors |
Seth Joel Corey, Marek Kimmel, Joshua N Leonard, Corey SJ, Kimmel M, Leonard JN, Seth Joel Corey MD, MPH, Marek Kimmel PhD, Joshua N. Leonard PhD, Joshua N. Leonard, Corey, Seth Joel, Kimmel, Marek, Leonard, Joshua N. |
| Abstract |
Hematologists have traditionally studied blood and its components by simplifying it into its components and functions. A variety of new techniques have generated large and complex datasets. Coupled to an appreciation of blood as a dynamic system, a new approach in systems hematology is needed. Systems hematology embraces the multi-scale complexity with a combination of mathematical, engineering, and computational tools for constructing and validating models of biological phenomena. The validity of mathematical modeling in hematopoiesis was established early by the pioneering work of Till and McCulloch. This volume seeks to introduce to the various scientists and physicians to the multi-faceted field of hematology by highlighting recent works in systems biology. Deterministic, stochastic, statistical, and network-based models have been used to better understand a range of topics in hematopoiesis, including blood cell production, the periodicity of cyclical neutropenia, stem cell production in response to cytokine administration, and the emergence of drug resistance. Future advances require technological improvements in computing power, imaging, and proteomics as well as greater collaboration between experimentalists and modelers. Altogether, systems hematology will improve our understanding of normal and abnormal hematopoiesis, better define stem cells and their daughter cells, and potentially lead to more effective therapies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Professor | 1 | 6% |
| Student > Master | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Computer Science | 2 | 13% |
| Mathematics | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 50% |