"A.I. will impact every industry on Earth, including manufacturing, agriculture, health care, and more." Fei Fei Li, Sequoia Capital Professor of Computer Science at Stanford University and co-Director of the Stanford Institute for Human-Centered Artificial Intelligence
Leverage the knowledge and experience of 2019 Ebert Prize winner, Dr Chris Calderon, as he discusses applying artificial intelligence and computational statistics to quantify and characterize subvisible particles in therapeutic protein products. This presentation will demonstrate how a Convolutional Neural Network (CNN) delivers the A.I. you need today by "fingerprinting" your drug to detect, identify and control changes in your processes.
- Learn how protein particles and aggregates challenge compendial methods for lot release and why protein drugs need solutions beyond simple particle size and count.
- Learn how A.I. can leverage images from different imaging modalities to deliver quantitative, actionable information to solve today's protein drug formulation/development and production challenges.
- Examine data from recent case studies using this technology.
Chris Calderon PhD.
Dr. Calderon is the President of Ursa Analytics and an adjunct research professor at the University of Colorado, Boulder. His company focuses on developing data-driven machine learning algorithms for various microscopy and sensing applications. Ursa Analytics' recent efforts have been focused on developing new algorithms combining deep learning and computational statistics for analyzing biopharmaceuticals in collaboration with SentrySciences.
Sandy Hutchison, BS
Director of Software Products
SentrySciences LLC (formerly PMT (USA) LLC)
Sandy holds a B.S. in Business Administration/Communication from Regis University, Denver, CO. She has 25+ years of experience in high technology operations, sales and marketing.
Cost: No Cost!