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Knowledge hub

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Researchers in a laboratory reviewing molecular imaging data on screen while working with a microscope and laptop
Blog

When the checker gets fooled: A framework for evaluating AI Agents

Illustration of agentic AI in drug discovery connecting computational analysis with laboratory experiments.
How Agentic AI is closing the loop in drug discovery
Next-generation AI-driven drug discovery platforms and tools
Next-Generation Tools in Drug Discovery
Scientist working with laboratory and data analysis tools to support data governance in regulated drug discovery.
Data Governance in Drug Discovery: Designing Audit-Ready Storage for Regulated R&D
Scientist reviewing biological data for multimodal foundation models in drug discovery
Foundation Models in Drug Discovery: What Pharma Needs to Scale Multimodal AI
Biomedical knowledge graph connecting drug discovery data, disease biology, targets and indications to support target prioritization and indication expansion
Knowledge Graphs in Drug Discovery: Bringing Context to Internal Data Assets
Molecular structure representing AI-supported antibody design for blood-brain barrier research
How BBB-Penetrating Antibodies Cross the Blood-Brain Barrier
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Life sciences conference takeaways 2026 - AACR, PEGS Boston, SLAS Europe, and Bio-IT World summary on AI in drug discovery
What 4 Life Sciences Conferences Revealed About AI in Drug Discovery
Life sciences professional using a tablet in front of digital data infrastructure screens
Scaling AI in Life Sciences: Why Data Infrastructure Determines Success
lab-in-the-loop drug discovery
Blog

The 49% Problem: Why Closing the Lab-AI Loop Starts Beneath the Iceberg

Fluorescence microscopy image of cells stained with multiple Cell Painting dyes showing cellular organelles in green, blue, and pink, overlaid with Ardigen brand graphic elements indicating phenomics data in durg discovery
End to End Data-to-Decision Journey for AI-Driven Phenomics in Drug Discovery
Abstract network visualization representing AI-driven integration of biological data and knowledge graphs for target identification in drug discovery.
Target Identification: From Poor Data to Quality Predictions
Abstract data streams representing data sourcing in pharmaceutical research and AI drug discovery
What Are Common Data Sourcing Patterns in Pharmaceutical Research (part 3)
Abstract visualization of binary data representing AI model training in drug discovery
What Type Of Data Do You Need For AI Drug Discovery (part 2)
Data quality management in AI-powered drug discovery and pharmaceutical research
Why Data Quality Matters in AI-powered Drug Discovery (part 1)
Scientist working with AI-driven drug discovery data in a biopharma laboratory
A practical 2026 roadmap for adopting AI in biopharma R&D
AI-powered bioinformatics platform visualizing biological data and model insights in a laboratory setting
The invisible bridge: How UX design can support AI success in bioinformatics?
Biotech AI data privacy in AI-driven biological and pharmaceutical research
Data Privacy Day 2026: Why Data Privacy Is Becoming a Technical Constraint in Biotech AI