wtf is icml2026-ai-bio?

This repository is a curated list of 315 research papers from ICML 2026, a major academic conference on machine learning, all focused on the overlap between AI and biology or medicine. It is not a piece of software you install and run, but a reference collection meant to help researchers and students quickly find relevant work in this area. The papers are organized into categories such as clinical AI and healthcare, neuroscience and brain research, protein design and structure, drug discovery and molecular design, genomics and sequence biology, medical imaging, single cell and spatial omics, structural biology, immunology, and oncology. Within each category, 27 papers are marked as spotlight picks and shown first, and 161 of the 315 papers link to publicly available code, so readers can see which ones come with working implementations. Each paper entry lists its title, authors, a short summary taken from the paper's abstract, a set of topic tags, and links to the PDF, the OpenReview discussion page, and the code repository when one exists. All of the underlying data is also stored in a single papers.json file, which would let someone build their own search tool, filter, or dashboard on top of this collection rather than reading the markdown by hand. The project is released under the CC0 license, which places the work in the public domain, meaning anyone can use, copy, or build on it without restriction or attribution. The full README is longer than what was shown.