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AI in Biotech

AI in biotech evolving from experimental models to regulated, production-ready drug discovery systems
Blog

AI in Biotech: Lessons from 2025 and the Trends Shaping Drug Discovery in 2026

From patient data to novel targets and biomarkers: UK Biobank use
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
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
New joint study: Computational identification of cross-reactive TCR epitopes with ARDitox
Adding Space to the Equation: How Spatial Context Enhances Drug Discovery
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.
Blog

Precision Trials: Using AI to Identify Responders

Illustration of Explainable AI in drug discovery, showing model interpretability and data transparency
Can You Trust Your Model? Why Explainability Matters in AI-Driven Drug Discovery
Learn how biotech can innovate faster and smarter. Discover how AI can benefit biologics’ discovery from protein design to in silico testing.
The AI-Biology Convergence: Designing the Next Generation of Biologics
Nature Methods cover image and cell morphology visualization from JUMP Cell Painting study
New publication in Nature Methods: How gene activity shapes cell structure
BIO Convention 2025
BIO International Convention 2025 – New Standards in Collaboration, Innovation, and the Integration of AI in Biotechnology
Computer Vision Meets Life Sciences: Inside the CVPR 2025 Workshop Co-Organized by Ardigen
Illustration of a human brain and neural connections symbolizing the synergy between human expertise and artificial intelligence in biotech.
Human-in-the-Loop: Achieving Impact with AI
What we brought back from AWS Summit Poland 2025
Abstract data charts on screen representing biological data visualization techniques. integrated life science datasets
Choosing the right chart type for data visualization: A guide for biologists