Knowledge hub

Knowledge hub

Drug Discovery

Biotech AI data privacy in AI-driven biological and pharmaceutical research
Blog

Data Privacy Day 2026: Why Data Privacy Is Becoming a Technical Constraint in Biotech AI

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
Data visualization representing AI-driven drug discovery using UK Biobank data
Lessons from the UK Biobank: Scaling AI Insights with Deep, Structured Data
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.
Blog

Leveraging Public Datasets for AI-Driven Discovery

Stage view from the SBI² 2025 conference in Boston, showing the event banner and audience.
SBI² 2025 Recap: From Cells to Systems – Imaging, AI, and the Future of Phenotypic Discovery
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New joint study: Computational identification of cross-reactive TCR epitopes with ARDitox
Adding Space to the Equation: How Spatial Context Enhances Drug Discovery
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Where Biology Meets Data: Key Takeaways from Festival of Biologics & BioTechX 2025
Can AI Stop the Cost Spiral in Drug Discovery? Summary of Our Expert Talk at BioTech X 2025
Abstract visualization of AI-driven analysis of patient data, representing precision medicine and responder identification.
Precision Trials: Using AI to Identify Responders
Portrait of Livia Legg, Chief Commercial Officer at Ardigen, featured in the 10 Years of Ardigen: Voices of Leadership interview series.
Built on Trust, Driven by Impact: How Ardigen’s CCO – Livia Legg Sees the Future of Partnerships in AI & Biotech
Microscopy image on computer screen with data charts – visualization of AI-ready phenotypic screening in drug discovery
From Phenotypic Screening to AI-Powered Insight: How to Generate Data to Get the Most from Ardigen phenAID
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