Round Table Discussion: Employing Machine Learning & Computational Biology to Validate Novel Therapeutic Targets, Design Robust Guide RNA & Predict Functional Effect of Editing, Driving the Development of Safe, Selective Editors

• Utilizing machine learning and computational biology to predict the functional effect of editing to assist preclinical development and safeguard patient safety

• Designing high-quality, durable, and ultra-specific guide RNA using machine learning tools to improve editing magnitude and safety

• Employing computational tools to apply RNA editing to common diseases by targeting multiple mutations and identifying novel therapeutic targets

Speakers:

Jeff Wintersinger

Scientist

Deep Genomics

Tehmina Masud

Vice President & Head of Target Identification

Deep Genomics

Omar Abudayyeh

Assistant Professor

Harvard Medical School

Jonathan Gootenberg

Assistant Professor

Harvard Medical School