Title |
Personalized medicine: risk prediction, targeted therapies and mobile health technology
|
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Published in |
BMC Medicine, February 2014
|
DOI | 10.1186/1741-7015-12-37 |
Pubmed ID | |
Authors |
Daniel F Hayes, Hugh S Markus, R David Leslie, Eric J Topol |
Abstract |
Personalized medicine is increasingly being employed across many areas of clinical practice, as genes associated with specific diseases are discovered and targeted therapies are developed. Mobile apps are also beginning to be used in medicine with the aim of providing a personalized approach to disease management. In some areas of medicine, patient-tailored risk prediction and treatment are applied routinely in the clinic, whereas in other fields, more work is required to translate scientific advances into individualized treatment. In this forum article, we asked specialists in oncology, neurology, endocrinology and mobile health technology to discuss where we are in terms of personalized medicine, and address their visions for the future and the challenges that remain in their respective fields. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 26% |
United Kingdom | 4 | 9% |
Colombia | 2 | 4% |
Spain | 2 | 4% |
Canada | 2 | 4% |
Netherlands | 1 | 2% |
Argentina | 1 | 2% |
Italy | 1 | 2% |
France | 1 | 2% |
Other | 4 | 9% |
Unknown | 16 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 30 | 65% |
Scientists | 10 | 22% |
Practitioners (doctors, other healthcare professionals) | 6 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 2% |
Brazil | 1 | <1% |
Canada | 1 | <1% |
Taiwan | 1 | <1% |
Nigeria | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Croatia | 1 | <1% |
Unknown | 234 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 45 | 18% |
Researcher | 45 | 18% |
Student > Master | 39 | 16% |
Student > Bachelor | 25 | 10% |
Other | 13 | 5% |
Other | 39 | 16% |
Unknown | 39 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 65 | 27% |
Computer Science | 20 | 8% |
Agricultural and Biological Sciences | 17 | 7% |
Biochemistry, Genetics and Molecular Biology | 16 | 7% |
Nursing and Health Professions | 14 | 6% |
Other | 55 | 22% |
Unknown | 58 | 24% |