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The Promise of Machine Learning in Clinical Laboratory Medicine Webinar
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Description: Machine learning provides a powerful tool for integrating clinical laboratory data, developing novel clinical insight and driving intelligent clinical decision support. This webinar will provide an intuitive overview of machine learning and its application to laboratory medicine, as well as challenges and barrier to implementing machine learning based models. An in-depth case study is presented to illustrate the analysis of COVID-19 laboratory data using machine learning tools.
Start date: Upon registration
Completion: Up to 52 weeks
Credits awarded per Session. See individual Sessions for further details.
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About this item

Description: Machine learning provides a powerful tool for integrating clinical laboratory data, developing novel clinical insight and driving intelligent clinical decision support. This webinar will provide an intuitive overview of machine learning and its application to laboratory medicine, as well as challenges and barrier to implementing machine learning based models. An in-depth case study is presented to illustrate the analysis of COVID-19 laboratory data using machine learning tools.

Start date: Upon registration

Completion: Up to 52 weeks

Course/Activity Information

At the end of this webinar you will be able to:

  • Discuss the situations where machine learning analysis can improve diagnostic and prognostic values of laboratory test results
  • Recognize opportunities that machine learning analysis can help to interpret complex laboratory profiles and discover hidden patterns behind multianalyte sets of clinical laboratory test results
  • Describe challenges and barriers to implementing machine learning based models as clinical decision support

 

Speaker: Dr. He Sarina Yang, MBBS, PhD, DABCC

Dr. Sarina Yang received her Bachelor of Medicine degree from Peking University Health Science Center and her PhD from Northwestern University. She was then trained as a Clinical Chemistry/Toxicology fellow at University of California, San Francisco.  Dr. Yang is certified in both Clinical Chemistry and Toxicological Chemistry by the American Board of Clinical Chemistry. After the training, she served as the Scientific Director of Clinical Toxicology and Special Chemistry at Quest Diagnostics for 3.5 years. Currently, Dr. Yang is an Assistant Professor at the Department of Pathology and Laboratory Medicine at Weill Cornell Medicine. She has a keen interest in analyzing big data of clinical laboratory test results using machine learning approaches. Her work was published in top clinical journals and cited by multiple national media and news.

 

Recorded: June 9, 2021

 

PEP hours: 1.0

CPS credits: 0

*Note: PEP hours and/or CPS credits will only be awarded upon successful completion of the quiz.

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