Welcome to the 2nd Annual Computational RNA Design & Delivery Summit!
The recent boom of AI/ML and computational science is revolutionizing the RNA field, companies are being empowered to harness and leverage the full potential of these technologies to expedite the process from days to minutes for rapid, optimized, and cost-effective design and delivery of RNA-based therapeutics. The AI revolution has officially kickstarted this next generation of discovery to bring these therapeutics to patients in need faster.
Join this exclusive forum in 2025 to improve your rational design of RNA therapeutics, enhance prediction models for better safety and efficacy, and accelerate your targeted delivery screening.
Connect with over 70 industry experts across 2 comprehensive days with deep-dive interactive sessions and data-driven presentations.
Deep dive into strategies for building high-quality datasets and leveraging public data repositories to improve training and accuracy of machine learning algorithms for predicting therapeutically relevant RNAs with insights from Strand Therapeutics and Sanofi
Unlock large language models, foundational models and embedding strategies for improving mRNA, gRNA and siRNA design and analysis for better translation efficiency and gene expression levels with insights from Sanofi, Zipcode Bio and Shape Therapeutics
Improve RNA structure prediction with computational models for optimizing RNA therapeutic design to improve efficacy and potency to treat the patients in need with insights from California Institute of Technology
Leverage AI/ML to advance targeting and delivery of RNA vaccines and therapeutics to treat a wide variety of diseases with insights from
Orbital Therapeutics, Kernal Biologics and Tiba Biotech
Deep Dive into strategies for building high-quality datasets and leveraging public data repositories to improve training and accuracy of machine learning algorithms for predicting therapeutically relevant RNAs with insights from Strand Therapeutics and Sanofi
Navigate ownership challenges and uncover patentability of AI-driven RNA and delivery design to protect innovation to advance more efficacious RNA therapies towards the market with insights from Rothwell Figg
KEY SESSIONS SHOWCASING BRAND NEW DATA:
ORBITAL
THERAPEUTICS
Benjamin Holmes
Director, Data Sciences
Harnessing Computational Tools for Re-Targeting of Virus-Like Particles (VLP) Delivering RNA Medicines
KERNAL
BIOLOGICS
Jeff Ozdemir
Head, Platform
Applying Machine Learning to mRNA Sequence Design & LNP Development for Achieving Cell-Specific Delivery & Selective Translation
STRAND
THERAPEUTICS
Frank Hidalgo
Senior Machine Learning Scientist
Combining ML-based Models with Sequence & Structure-Based Features for mRNA Optimization