Data Analysis & Integration & AI

Explore how AI, machine learning and data integration are powering next-generation discoveries and enabling smarter, faster, and more predictive precision medicine approaches.

Multi-Omics

Data Analysis & Integration & AI

AI-Guided Multi-Property Optimisation Of Enzymes

The Power Of Multiomics Characterization

Cutting-Edge Approaches for Integrating Multi-Omics Data in Human Diseases

Using Omics and AI to Advance Target Discovery

Mapping Gene Regulation with Graph Embedding of Single Cell Data

cATACpipe: Making Sense of scATAC-seq Data with Computational Tools

Innovations in dPCR Partition Classification

Beyond Black Boxes With Pathway-Driven Models For Biomedical Data

The iCAN Project: Upscaling Laboratory ProcessesTo Match Big Data Requirements

Generating Biological Insights with Unsupervised AI

Opportunities for Multiomics in Chronic Diseases

Omics Odyssey: Unveiling Insights in Preclinical Drug Development

Pathways to Precision: ML Applications For Biomedical Data Science

Synthetic Lethality In Personalised Cancer Treatment

Multi Dimensional Viewer: Democratising Data Analysis and Interpretation

Spatial Clues To Alzheimer’s Disease Resilience

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