Session ID: 

Enabling Path of Digital Pathology to Personalized Medicine

4:15pm - 5:15pm Tuesday, February 12
Orlando - Orange County Convention Center


Disease and cancer diagnosis, prognosis, and therapeutic decisions all depend on pathology. For decades, pathology diagnosis has been based on examining tissue placed and stained on glass slides. Introduction of slide scanners that generate thousands of stitched images from the original glass slide tissue have led to the digitization of pathology, similar to advancements in radiology. This, along with the ability of computers to recognize complex patterns in images; exponential growth in computational processing power; and decreased digital storage costs, are revolutionizing the role of pathology in personalized medicine. However, few pathologists are currently comfortable using digital pathology. As we rapidly transition to digital pathology becoming the standard of care, we need a platform to enable pathologists to become familiar with this technology and become competent to use it for diagnosis, education and research.

Learning Objectives: 

  • Define digital pathology and its applications
  • Design an effective program that will train the pathologists of today and tomorrow in digital pathology
  • Outline the path of pathology from digital pathology to computational pathology and finally, to personalized medicine for patients
  • Practice using digital pathology for educational, research and clinical purposes


Memorial Sloan Kettering Cancer Center
Associate Professor, Pathology and Dermatology,
Icahn School of Medicine At Mt. Sinai


Clinical Informaticists
Data Scientist
Life Sciences Professionals