Session date: 
07/12/2022 - 12:00pm to 1:00pm

PRESENTATION TITLE
Artificial Intelligence for Quantitative Pathology

PRESENTER(S)
Kun-Hsing Yu, M.D., Ph.D - Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School 

PRESENTER BIO
Kun-Hsing "Kun" Yu, MD, PhD is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School. His lab integrates cancer patients' quantitative histopathology patterns with multi-omics (genomics, epigenomics, transcriptomics, and proteomics) profiles to predict their clinical phenotypes. His group developed the first fully automated algorithm to extract thousands of features from whole-slide histopathology images, discovered the molecular mechanisms underpinning the microscopic phenotypes of tumor cells, and successfully identified previously unknown cellular morphologies associated with patient prognosis. Dr. Yu's research interests include quantitative pathology, machine learning, and translational bioinformatics.

LEARNING OBJECTIVES
Upon conclusion of this activity, participants should be able to:

  • Summarize the utility of machine learning methods in quantifying histopathology image
    findings.
  • Describe the strengths of computer vision algorithms for connecting patients' pathology
    image patterns with molecular profiles and clinical outcomes.
  • Recognize the limitations of the predominant machine learning framework in analyzing
    biomedical data.

COMPETENCIES

  • Patient Care or Patient-Centered Care
  • Medical Knowledge
  • Systems-Based Practice
  • Practice-Based Learning and Improvement

VIRTUAL ATTENDANCE INFORMATION

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s), please go here.

Presenter: 
Kun-Hsing Yu, M.D., Ph.D.
Where did the idea for the course originate?: 
Minnesota
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Where did the idea for the course originate?: 
Minnesota