Abstract representation of single-cell transcriptomics and neural networks

AI for Transcriptomics: Understanding Gene Expression at Scale

Introduction: The Language of the Cell While genomics maps the static blueprint of life, transcriptomics captures its dynamic execution. If the genome is the dictionary, the transcriptome is the conversation—the precise subset of genes being expressed by a specific cell, at a specific moment, under specific conditions. For decades, bulk RNA sequencing averaged these conversations across millions of cells, giving us a cacophonous blend that masked individual cellular identities. The advent of single-cell RNA sequencing (scRNA-seq) changed everything, allowing us to listen to individual cellular voices. ...

March 1, 2026 · 67 AI Lab
Map of the omics layers interconnected by glowing data lines

The Omics Revolution: A Map of the Territory

Welcome to the first installment of Agentic Omics: When AI Reads the Book of Life. In this 24-part series, we will systematically review the state of the art of Artificial Intelligence (AI) across all major omics disciplines. We will explore how large language models, foundational transformer architectures, and eventually fully autonomous “Agentic Omics” systems are orchestrating domain-specific models to accelerate drug discovery, personalized medicine, and our fundamental understanding of biology. ...

February 25, 2026 · 67 AI Lab