Precision medicine is redefining what’s possible for patients with nano rare genetic diseases, and antisense oligonucleotides (ASOs) are enabling this shift through large-scale, high throughput discovery and screening. In this webinar, trusted experts from n-Lorem and Integrated DNA Technologies (IDT) explore how systematic ASO screening—rather than one off design—drives the development of highly individualized therapies that are both effective and scalable. What you’ll learn
The discussion highlights how high throughput ASO screening, including 1-nt walking approaches, modifications, and data-driven selection are used to rapidly evaluate potency, selectivity, and mechanism across hundreds to thousands of candidates. Attendees will see how these screening datasets inform iterative ASO design decisions and feed into an end-to-end discovery workflow, from sequence selection through synthesis, testing, and optimization. The webinar also covers how access to robust ASO chemistries and industry grade synthesis speed and scale enables rapid iteration and personalization for nano-rare disease programs.


Principle Scientist,
Integrated DNA Technologies
Kim is a Principal Scientist in the Molecular Genetics R&D group at Integrated DNA Technologies (IDT) in Coralville, Iowa. She earned her bachelor’s degree in Genetics from Iowa State University before continuing her training in the UK as a graduate student in Biomolecular Archaeology at the University of Sheffield. Kim has spent more than two decades at IDT, where her work focuses on developing and optimizing strategies to modulate RNA expression using a broad range of chemically modified oligonucleotides. Her research spans multiple RNA modalities, including mRNAs, miRNAs, lncRNAs, circRNAs, and other noncoding RNAs. She is the author or coauthor of 27 scientific publications related to antisense technology, RNA interference, and chemical modifications for nucleic acid therapeutics.

Assistant Director of ASO Strategy Research,
n-Lorem
Dr. Anthony Vu leads efforts at n-Lorem to develop novel ASOs strategies aimed at correcting gene haploinsufficiency in ultra-rare diseases. His work focuses on building scalable platforms to identify and optimize ASOs that upregulate gene expression by targeting regulatory RNA elements, with the goal of restoring functional protein levels. He also plays a central role in advancing computation and automation tools for ASO discovery. Anthony received his Ph.D. in Biomedical Sciences from University of California, San Diego, where he investigated RNA metabolism and stress granule biology in neurodegeneration. As an NSF Graduate Research Fellow and ARCS Scholar, he brings a strong foundation in RNA biology, neurodegeneration, and bioinformatics to drive innovation in rare disease therapeutics.