Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm

The experiences of patients who try drugs that aren't approved for their disease have the potential to be mined for insights into drug efficacy. Wicks et al . rapidly monitored the efficacy of lithium treatment for 149 patients with amyotrophic lateral sclerosis using an online data collection...

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Veröffentlicht in:	Nature biotechnology Jg. 29; H. 5; S. 411 - 414
Hauptverfasser:	Wicks, Paul, Vaughan, Timothy E, Massagli, Michael P, Heywood, James
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Nature Publishing Group US 01.05.2011 Nature Publishing Group
Schlagworte:	631/114/2401 631/378/1689/1285 692/700/565/1436 Agriculture Algorithms Amyotrophic lateral sclerosis Amyotrophic Lateral Sclerosis - drug therapy analysis Bioinformatics Biological and medical sciences Biomedical and Life Sciences Biomedical Engineering/Biotechnology Biomedicine Biotechnology Care and treatment Case-Control Studies Clinical trials Control algorithms Drug therapy Female Fundamental and applied biological sciences. Psychology General aspects Health aspects Humans Internet Life Sciences Lithium Lithium carbonate Lithium Carbonate - blood Lithium Carbonate - therapeutic use Male Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Middle Aged Observational studies Online health care information services Riluzole - administration & dosage Risk Factors Self Report Sex Distribution Treatment Outcome United States Drug Data analysis On line Treatment Efficiency Patient Amyotrophic lateral sclerosis Lithium carbonate Web site Algorithm Computational biology
ISSN:	1087-0156, 1546-1696, 1546-1696
Online-Zugang:	Volltext
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