Knowledge hub

Blog

Abstract network visualization representing AI-driven integration of biological data and knowledge graphs for target identification in drug discovery.
Blog

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
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
Blog

Leading with purpose: Łukasz Nowak on building strong teams and scalable operations

AI with impact: CTO Michał Warchoł on building tech that matters
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
AI transformation in clinical trials faces hurdles like data quality, bias, and scalability. Know the challenges and their corresponding sol
Challenges of AI in clinical trials and how to overcome them
Adding Space to the Equation: How Spatial Context Enhances Drug Discovery
Where Biology Meets Data: Key Takeaways from Festival of Biologics & BioTechX 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