Knowledge hub

Drug Discovery

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

How Agentic AI is closing the loop 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
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
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
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
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
News

Good AI practice is no longer optional in Drug Discovery – EMA and FDA set the direction

AI in biotech evolving from experimental models to regulated, production-ready drug discovery systems
AI in Biotech: Lessons from 2025 and the Trends Shaping Drug Discovery in 2026
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
Leading with purpose: Łukasz Nowak on building strong teams and scalable operations
Leading with purpose: Łukasz Nowak on building strong teams and scalable operations
From patient data to novel targets and biomarkers: UK Biobank use
AI with impact: CTO Michał Warchoł on building tech that matters
From research to impact: Ardigen’s technology behind the Polish Microbiome Map
Laboratory glassware with digital data visualization overlay, representing the use of public biological datasets for AI-driven drug discovery.
Leveraging Public Datasets for AI-Driven Discovery