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Ardigen phenAID’s Multimodal Approach Improves MoA and Bioactivity Prediction When Applied to a HCS Dataset from a Big Pharma Company

High Content Screening: Redefining What Is Possible with Artificial Intelligence and Machine Learning
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
Immudex and Ardigen announce partnership
Selecting the best in vitro model mimicking biology
Streamlining lab reagent requests with a scalable digital solution
Optimization in LCMS experiment analysis with cloud-based data platform
pipelines solutions
Transforming Drug Discovery with Innovative Pipeline Solutions
AI-Powered Breakthroughs in Antibody Optimization
Case Studies

Predicting gene essentiality from omics data

AI nad JUMP
How AI and JUMP-Cell Painting are Shaping Pharmaceutical Advances
Speed up assay automation with a scalable cloud-based solution
Ardigen at BioIT2024
Integrating Cheminformatics and Phenotypic Screening: A Novel Approach for Enhanced Mode of Action Prediction
Highlights from the nf-core Hackathon at Ardigen’s Krakow Office
New Publication on Decoding Phenotypic Screening: A Collaborative Effort with Janssen Pharmaceutica and Jagiellonian University
Optimize processes with AI Lab Loop: A scalable platform for training knowledge graph models
Ardigen Appoints New CCO to Accelerate Growth Plans and Become the Top AI CRO Worldwide