Knowledge hub

Knowledge hub

Poster

Poster

Poster: Beyond Search: Putting a Knowledge Graph to Work

Poster: Building and Orchestrating a Multi-Agent System for Drug Discovery
Poster: Bridging the Phenotype-Proteome Gap: A Multi-Modal AI Framework for analysis of Cell Painting images
Large Language Model platform for patient-friendly content
AI-Driven De Novo Generation of Protein Binders
From Public Repositories to Target Hypotheses – An End-to-End Data-to-Insights Journey for scRNA and Spatial Omics with Knowledge Graphs
Poster: Initial Insights into Cost-Efficient AI Toxicity Profiling: Cell Painting + Chemical Structures
Poster: Safer pHLA-Targeted Immunotherapies Through AI and Computational Immunology
Poster: Predicting toxicity with Cell Painting & Dynamic Modeling
Poster

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?
Artificial Intelligence boosts Mode of Action and bioactivity
Poster: Artificial Intelligence predicts cell proliferation from DAPI images of (hISC)-derived colorectal cancer model
Finding divers hit candidates through phenotype-guided virtual screening using AI n molecular and morphology data
Finding diverse hit candidates through phenotype-guided Virtual Screening using Artificial Intelligence on molecular and morphology data
Integrating Cheminformatics and Phenotypic Screening: A Novel Approach for Enhanced Mode of Action Prediction