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CRISPR-Cas9 has revolutionized genetic engineering, enabling precise editing of DNA. However, one of the challenges in using CRISPR is the potential for off-target effects that can lead to unintended genetic modifications. This workshop focuses on leveraging AI to design optimized guide RNAs that improve the specificity and efficiency of CRISPR-based genome editing. By integrating machine learning algorithms and large-scale genomic data, participants will learn to predict and minimize off-target effects in gene editing experiments.
Over three days, the workshop will cover the fundamentals of CRISPR-Cas9 technology, the design of gRNAs using AI, and methods to predict and validate off-target effects. Hands-on sessions will allow participants to practice designing guide RNAs and running prediction models for off-target identification using AI-based tools.
This workshop aims to explore the application of AI in CRISPR-Cas9 technology, focusing on guide RNA (gRNA) design and off-target prediction. Participants will learn how to utilize AI algorithms to optimize gRNA sequences for precise gene editing and predict potential off-target effects, ensuring the accuracy and efficiency of CRISPR-based therapies.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Day 1 – CRISPR Fundamentals & AI Opportunities
Day 2 – Practical AI Models for gRNA Design
Day 3 – From In-Silico Prediction to Lab Validation
Capstone Discussion: Designing a CRISPR experiment with AI support
09/25/2025
Indian Standard Timing 7:00 PM
09/25/2025 to 09/27/2025
Indian Standard Timing 8:00 PM
INR. 2699
USD. 85
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