2 Matching Annotations
- Sep 2020
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www.thelancet.com www.thelancet.com
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Wilkinson, Jack, Kellyn F. Arnold, Eleanor J. Murray, Maarten van Smeden, Kareem Carr, Rachel Sippy, Marc de Kamps, et al. ‘Time to Reality Check the Promises of Machine Learning-Powered Precision Medicine’. The Lancet Digital Health 0, no. 0 (16 September 2020). https://doi.org/10.1016/S2589-7500(20)30200-4.
Tags
- prediction of individual responses
- clinical science
- collaboration
- clinical practice
- challenges
- improved diagnosis
- algorithmic complexity
- electronic health database
- revolution
- machine learning
- lang:en
- personalised medical approach
- machine learning powered precision medicine
- is:report
Annotators
URL
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- Apr 2017
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science.sciencemag.org science.sciencemag.org
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The Administration could also exercise its regulatory authority—most potently, to direct the Centers for Medicare and Medicaid Services (CMS) to allow reimbursement for molecular profiling of cancers
Perhaps the most important measure to keep precision medicine initiate alive. Surge in risk and treatment response prediction in genomic assays is of little value without practical means of affordable molecular profiling of a patient's tumor or more importantly, pre-diagnosis genomic screen.
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