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NEW YORK – A recent study has demonstrated that machine learning methods can sort out which laboratory tests used in hospitals may have greater patient-care value, and which ones don't.

The study, which was led by Stanford University researchers and published this week in JAMA, analyzed data from 191,506 inpatients at three different hospitals to predict which diagnostic lab tests are medically unnecessary.

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Jan
28
Sponsored by
Sophia Genetics

This webinar will discuss how Moffitt Cancer Center has implemented a new capture-based application to accurately assess myeloid malignancies by detecting complex variants in challenging genes in a single experiment.  

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Sponsored by
LGC

This webinar will provide a behind-the-scenes look at the collaborative development of a novel multiplex assay to speed detection of mosquito-borne illness in the clinical setting.