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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
Poster: Initial Insights into Cost-Efficient AI Toxicity Profiling: Cell Painting + Chemical Structures
Can AI Stop the Cost Spiral in Drug Discovery? Summary of Our Expert Talk at BioTech X 2025
Your monthly AI in biotech digest – October
Abstract visualization of AI-driven analysis of patient data, representing precision medicine and responder identification.
Precision Trials: Using AI to Identify Responders
Poster: Safer pHLA-Targeted Immunotherapies Through AI and Computational Immunology
Poster: Reducing Data Curation Time with an LLM-Augmented ETL System: A GEO Case Study
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
News

Your monthly AI in biotech digest – September

Turning Novel Biology into Actionable Evidence
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
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
Your monthly AI in biotech digest – August
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Nature Methods cover image and cell morphology visualization from JUMP Cell Painting study
New publication in Nature Methods: How gene activity shapes cell structure
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Scientist working in a laboratory environment, symbolizing biotech innovation and AI-driven drug discovery.
New publication: Biologically relevant models and AI increase scalability in CRC drug screening
Scientist analyzing high-content cell images on a computer screen – visualizing AI-driven phenotypic profiling in drug discovery.
The Future of Drug Discovery: Integrating Phenotypic Data with Omics and AI
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