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Your monthly AI in biotech digest – May

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
Accelerating biomarker discovery through omic data integration into drug screens
Accelerating biomarker discovery through omic data integration
Two scientists observing AI-driven cell analysis on a digital screen, representing decision-making in biotech innovation.
Build or Buy? Strategic Considerations for Biotech Companies Implementing AI Solutions
a detailed blog on AI in small-molecule drug discovery and how it impacts the drug discovery
AI in small-molecule drug discovery: A coming wave
biotech US market
AI in biotech: What the US market got right (and what it’s still learning)
an Majta presenting on AI and omics data in drug discovery at NextGen Omics Conference 2025.
From Data Chaos to Drug Discovery – Ardigen Talk at NextGen Omics Conference
Foundational Models for AI in Biology
Harnessing the potential of AI in drug discovery
BioIT 2025 insights
Blog

AI, Genomics and the Future of Medicine: Highlights from Bio-IT World Conference & Expo 2025

optimization strategies for scalable bioinformatics workflows.
The Scaling Paradox: Why Adding More Cloud Resources in Bioinformatics Doesn’t Always Solve the Problem
Poster: Enabling Real-Time Analytics in Clinical Trials
Poster: Nextflow-Powered Transformation: Migrating Genomics England’s Clinical Workflows
Poster: Revolutionizing GWAS Data Exploration for Target Discovery and Drug Repurposing with LLMs and Knowledge Graphs
Poster: From Text to Genes: Can LLMs Enhance Expression Annotations?
nextgen omics 2025
Insights from NextGen Omics 2025
The role of AI CROs in the next wave of biopharma transformation)
AI CROs and the Pharma Shift: The Next Wave of Drug Discovery Innovation