Machine learning to predict disease progression

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Predicting Disease Progression

Presenter:

Sun-In Lee

Abstract:

This talk will describe the use of text and phenotypic data in medical records for predicting patients’ clinical course, and potential uses for medical management. The presentation will be followed by questions and answers about the talk, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.

Modality:

  • Gene expression

Organ

  • Brain
  • Hematopathology
  • Lung
  • Skin

Disease

  • Cancer
  • Kidney and Liver Disease
  • Neurological Disease
  • Stroke and Cardiovascular
  • COVID

Other

  • Therapeutics
  • Personalized medicine
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