Knowledge hub

Knowledge hub

Ardigen phenAID

Poster

Integrated framework for explainable phenotypic characterization

Fluorescent Cell Painting image showing multiple cellular components used for morphological profiling in drug discovery.
The Applications of Morphological Profiling for Drug Discovery: The success stories
Microscopy image on computer screen with data charts – visualization of AI-ready phenotypic screening in drug discovery
From Phenotypic Screening to AI-Powered Insight: How to Generate Data to Get the Most from Ardigen phenAID
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
AI and HCS in cancer research
AI and HCS in cancer research: case studies on faster target discovery and screening
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
Better drug discovery through AI based phenotypic testing
phenotypic screening AI
From data to discovery: Interpreting complex phenotypic screens with AI-based insights
Case Studies

Extracting scientific insight from High Content Screening images

Finding divers hit candidates through phenotype-guided virtual screening using AI n molecular and morphology data
Finding diverse hit candidates through phenotype-guided Virtual Screening using Artificial Intelligence on molecular and morphology data
Integrating Cheminformatics and Phenotypic Screening: A Novel Approach for Enhanced Mode of Action Prediction
webinar HCS
Game-Changing Insights in HCS with Cell Painting
AI-driven method for identification of hits from phenotypic screening with Cell Painting Assay