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@@ -2,9 +2,9 @@
title: "Readme"
task: ""
lineage_type: import
upstream_source: https://github.com/ai-boost/awesome-ai-for-science/blob/43c134d3/README.md
upstream_sha: 43c134d3
imported_at: 2026-07-22
upstream_source: https://github.com/ai-boost/awesome-ai-for-science/blob/66ab494c/README.md
upstream_sha: 66ab494c
imported_at: 2026-07-23
prompt_class: catalogue
upstream_changes: accepted
author: upstream
@@ -334,6 +334,7 @@ validated: false
- [Coscientist](https://www.nature.com/articles/s41586-023-06792-1) - Autonomous chemical experiment planning and execution
- [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)
- [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)
- [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)
- [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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