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README.md
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##
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At CMLM, our mission is to responsibly advance healthcare AI by bridging traditional Chinese medicine with cutting-edge machine learning. FulPhil-医哲未来 aims to:
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- Train state-of-the-art medical AI models to assist diagnosis and treatment
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- Develop robust safety and ethics frameworks for the deployment of AI in healthcare
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- Foster open collaboration between practitioners of Chinese medicine, Western medicine, and AI
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##
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- **Data Stewardship**: Collecting, standardizing and sharing medical data, with utmost regard for patient privacy and data governance.
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- **Model Innovation**: Pushing the frontiers of natural language processing, computer vision, knowledge graphs, and multimodal learning for medical AI.
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- **Responsible AI**: Ensuring models are safe, explainable, unbiased, and used only in appropriate medical contexts by qualified professionals.
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- **Open Collaboration**: Enabling researchers, doctors and engineers around the world to jointly solve key challenges in healthcare AI.
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FulPhil-医哲未来 (Future Medicine Philosophy) is a non-profit organization dedicated to advancing healthcare through the ethical application of cutting-edge technologies. By bringing together experts in Chinese medicine, Western medicine, artificial intelligence, and philosophy, we seek to develop innovative, holistic, and culturally-informed solutions to global health challenges.
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pinned: true
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---
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<div align="center">
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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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<br/>
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**Building trustworthy medical intelligence at the intersection of
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Chinese medicine, Western medicine, philosophy, and future AI.**
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<br/>
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</div>
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---
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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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---
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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. |
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| **Chinese Medicine Language Models** | Domain-specific language models for Chinese medicine reasoning, syndrome differentiation, treatment strategy planning, and integrative medicine research. |
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| **Multimodal & Future Medical AI** | AI systems connecting text, images, omics data, knowledge graphs, virtual-cell simulation, digital organs, and digital-life exploration. |
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| **Trustworthy Healthcare AI** | Safety-aware, explainable, privacy-preserving, human-centered medical AI for research and professional use. |
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---
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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
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* classical medical text interpretation
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* formula, herb, acupoint, and pathomechanism modeling
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* TCM–Western medicine terminology alignment
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* 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
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* privacy protection and de-identification
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* terminology normalization
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* expert annotation and validation
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* 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
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* medical images and pathology images
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* omics and molecular data
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* knowledge graphs and causal evidence
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* 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
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* transparent limitations
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* explainable reasoning pathways
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* safety evaluation
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* bias and hallucination reduction
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* clinically appropriate deployment boundaries
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---
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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**
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**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
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* Western medicine
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* artificial intelligence
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* biomedical informatics
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* philosophy of medicine
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* 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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---
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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
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* **Instruction datasets** for medical reasoning and dialogue
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* **Evaluation benchmarks** for safety, factuality, and clinical usefulness
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* **Knowledge resources** including ontologies, terminology mappings, and structured corpora
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* **Agentic workflows** for literature mining, medical knowledge discovery, and decision-support research
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* **Educational demos** for responsible use of medical AI
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---
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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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---
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## 🤝 Collaboration
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We welcome collaboration with:
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* clinicians and Chinese medicine practitioners
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* biomedical researchers
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* AI engineers and data scientists
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* medical informatics teams
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* hospitals, universities, and research institutes
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* 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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---
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## 📫 Contact
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**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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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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---
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<div align="center">
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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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