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Bioinfo / Comp Bio / AI Methods

12 session transcripts (all symlinked from other topics), ~162,000 words of methods-dense content. 536 poster abstracts, ~210,000 words.

The methods slice of AACR 2026: foundation models, pipelines, benchmarks, ML/DL applications, digital pathology, agentic AI, LLMs in the clinic.

Tool dossiers

Some of the named tools below — CHIEF, scGPT, Geneformer, Cell2Location, etc. — have dedicated reference dossiers covering every corpus mention plus what the evidence is missing. See Tools index for the full sortable matrix.

Every session in this topic is the canonical transcript from another topic folder, surfaced here because of heavy methods content (ranked by "foundation model / ML / DL / algorithm / benchmark / toolkit" keyword density).

Session Words Primary topic
AI Revolution in Cancer Research 15,915 Agentic AI
Foundation Models and Multimodal AI for Cancer Research 11,668 Virtual Cells
AI in Biomarker Discovery and Drug Development 12,941 Agentic AI
AT02: Agentic AI as the Cancer Researcher 12,831 Agentic AI
Spatial Transcriptomics & Pathology AI 12,615 Agentic AI
Agentic AI as the Oncologist 12,023 Agentic AI
Decoding Cancer's Complex Ecosystem: Pathology TME Heterogeneity 13,534 Single-Cell & Spatial Omics
3D Tissue Imaging and Cancer 16,035 Single-Cell & Spatial Omics
Spatial Biomarkers at Single-Cell Resolution 16,489 Single-Cell & Spatial Omics
Dissecting Hematologic Malignancies at Single-Cell Resolution 11,126 Single-Cell & Spatial Omics
Spatial and Single-Cell Omics at Scale 13,751 Single-Cell & Spatial Omics
Mapping Neural-Immune Circuits: Spatial Multi-Omics 16,508 Single-Cell & Spatial Omics

Posters — 536 abstracts

Harvested via AACR's Session endpoint (/Session/<sid>/Presentations) for 24 methods-oriented poster sessions — complete per-session coverage, not keyword-filtered.

Session families included:

  • Application of Bioinformatics to Cancer Biology 1-5 (137 posters)
  • Integrative Computational Approaches 1-2 (50)
  • New Software Tools for Data Analysis (29), New Algorithms and Computational Methods (26)
  • Network Biology and Precision Medicine (25), Computational/Technological/Mechanistic Advances (27)
  • Digital Pathology 1-3 (59), Radiomics and AI in Medical Imaging (21)
  • Machine Learning Approaches for Cancer Prediction (23), Machine Learning for Image Analysis (8), Deep Learning in Cancer (18)
  • Large Language Models in the Clinic (25), Agentic AI in Cancer (18)
  • Late-Breaking: Bioinformatics/Comp Bio/Systems Biology 1-2 (31)
  • Molecular Pathology (12), Innovative Therapeutic Modalities and Translational Platforms (27)

Overlap with other topics: 157 also in Single-Cell & Spatial Omics, 43 in Virtual Cells, 24 in Clinical Trials. 351 are unique to Bioinfo / Comp Bio / AI Methods.