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| # 🧬 CMLM |
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| ## Chinese Medicine Language Models |
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| ### by **IMPF-AI Institute · 医哲未来人工智能研究院** |
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| #### Institute of Medical Philosophy & Future AI |
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| **Building trustworthy medical intelligence at the intersection of |
| Chinese medicine, Western medicine, philosophy, and future AI.** |
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| ## 🌌 Vision |
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| **CMLM** is an open research initiative dedicated to developing Chinese Medicine Language Models for the next generation of trustworthy healthcare intelligence. |
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| Led by **IMPF-AI Institute · 医哲未来人工智能研究院**, CMLM aims to connect classical medical knowledge, modern clinical evidence, multimodal biomedical data, and responsible artificial intelligence into a unified research ecosystem. |
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| Our long-term vision is to explore a future where **human medical wisdom and machine intelligence co-evolve**—supporting clinical reasoning, medical education, knowledge discovery, and personalized healthcare research while preserving safety, interpretability, and human oversight. |
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| ## 🧭 Mission |
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| CMLM focuses on the responsible advancement of medical AI through four core missions: |
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| | Direction | What We Build | |
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| | **Medical Knowledge Infrastructure** | High-quality datasets, terminology systems, medical ontologies, classical text corpora, clinical instruction data, and evaluation benchmarks. | |
| | **Chinese Medicine Language Models** | Domain-specific language models for Chinese medicine reasoning, syndrome differentiation, treatment strategy planning, and integrative medicine research. | |
| | **Multimodal & Future Medical AI** | AI systems connecting text, images, omics data, knowledge graphs, virtual-cell simulation, digital organs, and digital-life exploration. | |
| | **Trustworthy Healthcare AI** | Safety-aware, explainable, privacy-preserving, human-centered medical AI for research and professional use. | |
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| ## 🔬 Research Focus |
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| ### 01 · Chinese Medicine Foundation Models |
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| We develop specialized language models that understand the conceptual structure of Chinese medicine, including: |
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| * syndrome differentiation and treatment reasoning |
| * classical medical text interpretation |
| * formula, herb, acupoint, and pathomechanism modeling |
| * TCM–Western medicine terminology alignment |
| * evidence-grounded integrative medicine reasoning |
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| ### 02 · Medical Data Stewardship |
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| We curate and standardize medical datasets with rigorous attention to: |
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| * data quality and traceability |
| * privacy protection and de-identification |
| * terminology normalization |
| * expert annotation and validation |
| * benchmark construction and reproducible evaluation |
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| ### 03 · Multimodal Medical Intelligence |
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| We are interested in AI systems that integrate: |
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| * clinical text and structured records |
| * medical images and pathology images |
| * omics and molecular data |
| * knowledge graphs and causal evidence |
| * virtual cell, artificial mitochondria, digital organ, and digital life modeling |
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| ### 04 · Responsible and Human-Centered AI |
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| CMLM is designed for research, education, and professional decision support. We emphasize: |
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| * human oversight |
| * transparent limitations |
| * explainable reasoning pathways |
| * safety evaluation |
| * bias and hallucination reduction |
| * clinically appropriate deployment boundaries |
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| ## 🏛 About IMPF-AI Institute |
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| **IMPF-AI Institute · 医哲未来人工智能研究院** |
| **Institute of Medical Philosophy & Future AI** |
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| IMPF-AI is a frontier research initiative dedicated to **trustworthy medical AI, virtual-cell simulation, digital-organ modeling, and future digital-life exploration**. |
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| The institute brings together perspectives from: |
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| * Chinese medicine |
| * Western medicine |
| * artificial intelligence |
| * biomedical informatics |
| * philosophy of medicine |
| * complex systems and future intelligence |
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| We believe that the future of healthcare AI should not be limited to automation. It should deepen medical understanding, support responsible clinical reasoning, and help build a more humane, precise, and intelligent healthcare ecosystem. |
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| ## 🚀 What We Are Building |
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| CMLM will gradually release and maintain: |
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| * **Domain models** for Chinese medicine and integrative medicine |
| * **Instruction datasets** for medical reasoning and dialogue |
| * **Evaluation benchmarks** for safety, factuality, and clinical usefulness |
| * **Knowledge resources** including ontologies, terminology mappings, and structured corpora |
| * **Agentic workflows** for literature mining, medical knowledge discovery, and decision-support research |
| * **Educational demos** for responsible use of medical AI |
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| ## 🛡 Responsible Use Statement |
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| CMLM resources are intended for **research, education, and professional decision-support exploration only**. |
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| They are **not medical devices** and should **not** be used as a substitute for qualified medical professionals. Any clinical application must be conducted under appropriate ethical review, data governance, regulatory compliance, and human expert supervision. |
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| We encourage users to report limitations, errors, safety concerns, and potential misuse cases so that the community can improve these systems responsibly. |
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| ## 🤝 Collaboration |
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| We welcome collaboration with: |
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| * clinicians and Chinese medicine practitioners |
| * biomedical researchers |
| * AI engineers and data scientists |
| * medical informatics teams |
| * hospitals, universities, and research institutes |
| * open-source contributors interested in responsible healthcare AI |
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| Together, we aim to build an open, trustworthy, and future-oriented medical AI ecosystem. |
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| ## 📫 Contact |
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| **IMPF-AI Institute · 医哲未来人工智能研究院** |
| **Institute of Medical Philosophy & Future AI** |
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| For collaboration, research discussion, or community contribution, please contact: |
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| **[contact@impf-ai.org](mailto:contact@impf-ai.org)** |
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| ### 🌿 From classical medical wisdom to future medical intelligence. |
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| ### 🧬 From language models to digital life systems. |
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| ### ✨ CMLM · Building the next generation of trustworthy Chinese medicine AI. |
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| </div> |
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