Ardigen https://validator.w3.org/feed/docs/rss2.html Build or Buy? Strategic Considerations for Biotech Companies Implementing AI Solutions AI CROs and the Pharma Shift: The Next Wave of Drug Discovery Innovation Predicting gene essentiality from omics data Speed up assay automation with a scalable cloud-based solution From Data Chaos to Drug Discovery – Ardigen Talk at NextGen Omics Conference The Scaling Paradox: Why Adding More Cloud Resources in Bioinformatics Doesn’t Always Solve the Problem Accelerating biomarker discovery through omic data integration Better drug discovery through AI based phenotypic testing Identifying hits in phenotypic studies using artificial intelligence – based morphological analysis Unifying internal access to data: A smart search application for the biotechnology industry AI in biotech: What the US market got right (and what it’s still learning) AI hit-to-lead optimization for drug discovery Insights from NextGen Omics 2025 Foundational Models for AI in Biology Real-time analytics for Clinical Trials Your monthly AI in biotech digest – May Homepage Selecting the best in vitro model mimicking biology Genomics, Proteomics, and AI: Highlights from the Festival of Genomics & Biodata Data Management Bioinformatic Workflows Target Identification Bioinformatics AI & ML Clinical Drug Development AI for Biologics AI for Small Molecules Advanced Bioinformatic Analysis of Single-Cell RNA Sequencing Data with Immudex and Ardigen Transforming Drug Discovery with Innovative Pipeline Solutions How AI and JUMP-Cell Painting are Shaping Pharmaceutical Advances From data overload to decision clarity in drug discovery AI and HCS in cancer research: case studies on faster target discovery and screening Where AI Meets Wet-Lab: A Smarter Path to Biologics Discovery Success Knowledge hub Extracting scientific insight from High Content Screening images From data to discovery: Interpreting complex phenotypic screens with AI-based insights Optimization in LCMS experiment analysis with cloud-based data platform What we brought back from AWS Summit Poland 2025 Antibody Hit Screening: Developing Successful Therapies with the Help of In Silico Tools Choosing the right chart type for data visualization: A guide for biologists Poster: From Text to Genes: Can LLMs Enhance Expression Annotations? Poster: Revolutionizing GWAS Data Exploration for Target Discovery and Drug Repurposing with LLMs and Knowledge Graphs Poster: Nextflow-Powered Transformation: Migrating Genomics England’s Clinical Workflows Poster: Enabling Real-Time Analytics in Clinical Trials AI-driven identification of hits from Cell Painting based screening AI, Genomics and the Future of Medicine: Highlights from Bio-IT World Conference & Expo 2025 AI-driven method for identification of hits from phenotypic screening with Cell Painting Assay Integrating cheminformatics and phenotypic screening: A novel approach for enhanced mode of action prediction Finding diverse hit candidates through phenotype-guided Virtual Screening using Artificial Intelligence on molecular and morphology data Poster: Artificial Intelligence predicts cell proliferation from DAPI images of (hISC)-derived colorectal cancer model