Chapter title |
Personalized Medicine: What’s in it for Rare Diseases?
|
---|---|
Chapter number | 22 |
Book title |
Rare Diseases Epidemiology: Update and Overview
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-67144-4_22 |
Pubmed ID | |
Book ISBNs |
978-3-31-967142-0, 978-3-31-967144-4
|
Authors |
Sebastian Schee genannt Halfmann, Laura Mählmann, Lada Leyens, Matthias Reumann, Angela Brand, Schee genannt Halfmann, Sebastian, Mählmann, Laura, Leyens, Lada, Reumann, Matthias, Brand, Angela |
Abstract |
Personalised Medicine has become a reality over the last years. The emergence of 'omics' and big data has started revolutionizing healthcare. New 'omics' technologies lead to a better molecular characterization of diseases and a new understanding of the complexity of diseases. The approach of PM is already successfully applied in different healthcare areas such as oncology, cardiology, nutrition and for rare diseases. However, health systems across the EU are often still promoting the 'one-size fits all' approach, even if it is known that patients do greatly vary in their molecular characteristics and response to drugs and other interventions. To make use of the full potentials of PM in the next years ahead several challenges need to be addressed such as the integration of big data, patient empowerment, translation of basic to clinical research, bringing the innovation to the market and shaping sustainable healthcare systems. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Ireland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 16% |
Student > Bachelor | 9 | 11% |
Student > Ph. D. Student | 8 | 10% |
Student > Master | 7 | 9% |
Student > Doctoral Student | 6 | 7% |
Other | 13 | 16% |
Unknown | 26 | 32% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 12 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 11% |
Medicine and Dentistry | 9 | 11% |
Business, Management and Accounting | 7 | 9% |
Computer Science | 6 | 7% |
Other | 15 | 18% |
Unknown | 24 | 29% |