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This page is the shortest route into the handbook. Search for a model, method, biological system, or research workflow, or begin with one of the reading paths below.
Choose a Reading Path
- New to life sciences AI: Begin with AI for the Life Sciences, then read the Executive Summary and Evaluation Principles.
- Evaluating a model, paper, or vendor: Start with Evaluation Principles, use the Practical Evaluation Workflows to record the comparison, then consult the Toolkit and Translational Evidence and Failure Modes.
- Looking for a research domain: Browse the parts below or use the Research Domains menu in the navigation bar.
Browse the Handbook
- Foundations: data, literature, foundation models, history, and evaluation
- Molecular Discovery and Design: proteins, biologics, genomes, nucleic acids, and variants
- Cells, Tissues, and Systems Biology: single-cell models, imaging, spatial biology, multi-omics, and multiscale systems
- Organismal and Environmental Biology: neuroscience, aging, agriculture, ecology, and virtual organisms
- Therapeutic Discovery and Translation: targets, molecules, diagnostics, biomarkers, trials, and translational evidence
- Research Systems and Automation: autonomous laboratories, robotics, synthetic biology, biomanufacturing, and agents
- Evaluation, Practice, and Governance: tool selection, hands-on evaluation worksheets, benchmarks, reproducibility, information hazards, and readiness
For a compact view of every chapter, use Quick Reference: All Chapter Summaries.