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Insights from the Society of Biomolecular Imaging & Informatics (SBI2) Conference

Lead optimization for antibody therapeutics
Poster: Artificial Intelligence predicts cell proliferation from DAPI images of (hISC)-derived colorectal cancer model
One-Week Transition to Cloud Infrastructure for Biotech Companies
Unlock biological insights in populational proteomics dataset
Large-scale machine learning workflows
Better drug discovery through AI based phenotypic testing
phenotypic screening AI
From data to discovery: Interpreting complex phenotypic screens with AI-based insights
Recent Successes in Phenotypic Drug Discovery and the Future of ML/AI Methods
Case Studies

Extracting scientific insight from High Content Screening images

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