Poster: Artificial Intelligence predicts cell proliferation from DAPI images of (hISC)-derived colorectal cancer model

Format:

Joint collaboration with Ryvu Therapeutics

About the poster

This poster, presented at SBI2 2024 and created in collaboration between Ardigen and Ryvu Therapeutics, showcases an innovative AI-based approach for predicting cancer cell proliferation from microscopy images. Using a deep learning model trained on DAPI-stained nuclei images, the team demonstrates that proliferation can be assessed without the need for EdU staining, significantly reducing cost and increasing throughput. The method maintains high accuracy across different cell lines, offering a promising tool for phenotypic drug screening in complex co-culture systems.

You might be also interested in:

biotech US market
AI in biotech: What the US market got right (and what it’s still learning)
From Data Chaos to Drug Discovery – Ardigen Talk at NextGen Omics Conference
Foundational Models for AI in Biology
Foundational Models for AI in Biology
BioIT 2025 insights
AI, Genomics and the Future of Medicine: Highlights from Bio-IT World Conference & Expo 2025

Contact

Ready to transform drug discovery?

Discover how one of the top AI CROs in the world, can be your trusted partner in revolutionizing drug discovery through AI.

Contact us today to learn more about our tailored solutions for empowering your drug development journey.

Send us a message and we will contact you back within 48 hours.

Newsletter

Become an insider

Be the first to know about Ardigen’s latest news and get access to our publications, webinars and more!