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VCS 2020: Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model

VCS 2020: Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model

VCS 2020: Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model

Sungwon Lim
Sungwon Lim
on behalf of Missouri Veterinary Medical Association

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Launch date: 22 Nov 2020
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Last updated: 27 Jan 2021

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Description

How can we largely improve ex vivo prediction power by incorporating machine learning-based A.I. algorithms that compile immunophenotyping data and drug sensitivity results?
Exam offered and MVMA CE certificate issued following presentation.

Objectives

How can we largely improve ex vivo prediction power by incorporating machine learning-based A.I. algorithms that compile immunophenotyping data and drug sensitivity results?
Sungwon Lim

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Sungwon Lim
on behalf of Missouri Veterinary Medical Association

Sungwon Lim

Current Accreditations

This course has been certified by or provided by the following Certified Organization/s:

  • Missouri Veterinary Medical Association
  • 0.25 Hours -
    Exam Attempts: 3
    -
    Exam Pass Rate: 60

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