Speakers
Christoph Guetter, PhD, Director of Algorithm Development at Roche

Saleh Miri, PhD, Sub-Chapter Lead, DP Algorithm Pharma Services at Roche

Learning Objectives

• Understand the utility of artificial intelligence (AI) and machine learning (ML) in the development of image analysis tools for digital pathology, and understand current AI/ML methods and how they address the different aspects of AI development.
• Acquire foundational levels of knowledge in the areas of DP infrastructure as well as underlying AI, machine learning and neural network approaches.
• Awareness of the importance of generating high-quality Ground-Truth (GT) for training, tuning, and testing of AI/ML methods
• Insights into the value of standardization during algorithm development and the variables that can impact the performance of AI tools.
• Understanding of the pathologist's role in image analysis algorithm development.
• Interpret the importance of AI & Ethics and how its inclusion is foundational to the development and deployment of these tools.  

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