Knowledge hub

Phenotypic Screening

Ardigen phenAID platform
Case Studies

AI Phenotypic Profiling for Hit Prioritization

Stage view from the SBI² 2025 conference in Boston, showing the event banner and audience.
SBI² 2025 Recap: From Cells to Systems – Imaging, AI, and the Future of Phenotypic Discovery
Nature Methods cover image and cell morphology visualization from JUMP Cell Painting study
New publication in Nature Methods: How gene activity shapes cell structure
Scientist analyzing high-content cell images on a computer screen – visualizing AI-driven phenotypic profiling in drug discovery.
The Future of Drug Discovery: Integrating Phenotypic Data with Omics and AI
Abstract data charts on screen representing biological data visualization techniques. integrated life science datasets
Choosing the right chart type for data visualization: A guide for biologists
Two scientists observing AI-driven cell analysis on a digital screen, representing decision-making in biotech innovation.
Build or Buy? Strategic Considerations for Biotech Companies Implementing AI Solutions
Identifying hits in phenotypic studies using artificial intelligence-based morphological analysis
Identifying hits in phenotypic studies using artificial intelligence based morphological analysis
Poster: Artificial Intelligence predicts cell proliferation from DAPI images of (hISC)-derived colorectal cancer model
Case Studies

Better drug discovery through AI based phenotypic testing

phenotypic screening AI
From data to discovery: Interpreting complex phenotypic screens with AI-based insights
Extracting scientific insight from High Content Screening images
Integrating Cheminformatics and Phenotypic Screening: A Novel Approach for Enhanced Mode of Action Prediction
AI-driven method for identification of hits from phenotypic screening with Cell Painting Assay