Machine Learning Applications in Healthcare and Considerations for Building Effective Models

Co-Moderator(s)

• 

  Tracy McMillen, MS (she/her/hers)

  Laboratory Technologist
  Clinical Microbiology
  Memorial Sloan Kettering Cancer Center
  New York, New York, United States

Co-Moderator (Early Career)(s)

• 

  Shaaban Sherin, MD, PhD FACMG

  Assistant Professor of Pathology, Medical Director
  University of Utah, ARUP labs
  Salt Lake, Utah, United States

Presentations:

• 10:15 AM - 10:45 AM MST

  AI/ML Pipeline to Identify Genetic Biomarkers and Predict Disease for Precision Medicine
  

  Speaker: Zeeshan Ahmed, PhD (he/him/his) – Rutgers Institute for Health, Health Care Policy and Aging Research. Rutgers Robert Wood Johnson Medical School. Rutgers Biomedical and Health Sciences. Rutgers, The State University of New Jersey.
• 10:45 AM - 11:15 AM MST

  "Weakly-Supervised Tumor Purity Prediction from Frozen H&E Stained Slides"
  

  Speaker: Iman Hajirasouliha, PHS (he/him/his) – WEII CORNELL MEDICINE
• 11:15 AM - 11:45 AM MST

  Approaches and Techniques to Consider when Building Machine Learning Models
  

  Speaker: Shalmali Joshi