Knowledge hub

Illustration of agentic AI in drug discovery connecting computational analysis with laboratory experiments.
Blog

How Agentic AI is closing the loop in drug discovery

Ardigen phenAID platform
AI Phenotypic Profiling for Hit Prioritization
biology binder design case study
AI Protein Binder Design Case Study
scientist working on the target identification case study
AI Target Discovery from Multimodal Data
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
Ardigen and VERAXA Biotech announce AI-enabled drug discovery collaboration
Ardigen and VERAXA Biotech announce AI-enabled drug discovery collaboration
Scientist reviewing biological data for multimodal foundation models in drug discovery
Foundation Models in Drug Discovery: What Pharma Needs to Scale Multimodal AI
Poster: Bridging the Phenotype-Proteome Gap: A Multi-Modal AI Framework for analysis of Cell Painting images
Biomedical knowledge graph connecting drug discovery data, disease biology, targets and indications to support target prioritization and indication expansion
Blog

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
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
Large Language Model platform for patient-friendly content
lab-in-the-loop drug discovery
The 49% Problem: Why Closing the Lab-AI Loop Starts Beneath the Iceberg
Webinar: Lab-in-the-Loop: reclaiming the 50% of scientific time lost to data
Lab-in-the-Loop: reclaiming the 50% of scientific time lost to data
AI-Driven De Novo Generation of Protein Binders
Blog cover for Ardigen publication on ARDisplay-I and MHC ligand identification in Molecular & Cellular Proteomics
New publication in MCP: Improving MHC ligand identification with machine learning and optimized isolation