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Webinar Jan. 9: Revolutionize Pathology Using Artificial Intelligence

January 9, 2019 • 9am PST/12pm EST/4pm UTC
30 minutes with 10 minutes live Q&A

Artificial intelligence (AI) is revolutionizing pathology in both research and in the clinic. Indeed, recent publications have demonstrated accurate, AI-based models to classify skin cancer, quantify prostate tumors, and assess tumor-infiltrating lymphocytes (TILs).

In this 30-minute session, you’ll learn how AI-based pathology can help generate accurate data, and how to rapidly develop and deploy new models using the ImageDx™ image analysis solution.

You’ll learn:

  • How AI-based pathology can help generate accurate data and advance research
  • How to rapidly develop and deploy new models using the ImageDx™ image analysis solution, a combined training, inference and visualization pathology platform
  • How a growing library of deep learning-trained convolutional neural networks helps identify tissue architectures, specific stains, and tissue artifacts


About Our Speaker




Chandreyee Das

Senior Content Manager

Chandreyee Das, Ph.D. (Chemical Biology, UCSF) is a Senior Content Manager at Science Exchange with 15 years of research experience and 12 years of life science content marketing experience. Chandreyee was a Fulbright Scholar and won fellowships from the U.S. NSF and NIH. Following postdoctoral research at Dana-Farber Cancer Institute, she worked at MilliporeSigma, delivering scientific content to life science tools customers. She has published in both peer-reviewed and industry news outlets.

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