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Your monthly AI in biotech digest – November

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
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
A Decade of Ardigen
A Decade of Ardigen: Celebrating 10 Years of People, Science & Shared Purpose
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
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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
Poster: Initial Insights into Cost-Efficient AI Toxicity Profiling: Cell Painting + Chemical Structures
News

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
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
Your monthly AI in biotech digest – September
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