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3924b50b74 |
@@ -2,9 +2,9 @@
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title: "Readme"
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task: ""
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lineage_type: import
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upstream_source: https://github.com/ai-boost/awesome-ai-for-science/blob/43c134d3/README.md
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upstream_sha: 43c134d3
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imported_at: 2026-07-22
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upstream_source: https://github.com/ai-boost/awesome-ai-for-science/blob/66ab494c/README.md
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upstream_sha: 66ab494c
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imported_at: 2026-07-23
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prompt_class: catalogue
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upstream_changes: accepted
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author: upstream
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@@ -334,6 +334,7 @@ validated: false
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- [Coscientist](https://www.nature.com/articles/s41586-023-06792-1) - Autonomous chemical experiment planning and execution
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- [SciAgents](https://github.com/lamm-mit/SciAgentsDiscovery) - Bioinspired multi-agent intelligent graph reasoning system that autonomously traverses ontological knowledge graphs to generate, critique, and refine novel research hypotheses, demonstrated on bio-inspired materials discovery with cross-disciplinary connection mining (MIT Lamm Group, 2024)
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- [TxAgent](https://github.com/mims-harvard/TxAgent) - AI agent for therapeutic reasoning across a universe of tools, achieving 92.1% accuracy in drug reasoning and outperforming GPT-4o by 25.8% (Harvard MIMS, 2025)
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- [ATHENA-R1 (Harvard MIMS)](https://github.com/mims-harvard/ATHENA) - Reinforcement-learning-trained AI agent for treatment reasoning over a universe of 212 biomedical tools, performing multi-step evidence gathering and spawning parallel reasoning branches to reach evidence-grounded clinical decisions (55+ stars, MIT License, 2026)
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- [ClawBio](https://github.com/ClawBio/ClawBio) - First bioinformatics-native AI agent skill library enabling local-first, reproducible genomic and population-genetics research workflows built on OpenClaw (871+ stars, MIT License, 2026)
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