| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | - zh |
| | base_model: |
| | - Qwen/Qwen2.5-3B-Instruct |
| | tags: |
| | - medical |
| | - cancer |
| | - Onco |
| | --- |
| | # OncoCareBrain-GPT |
| |
|
| | ## Model Description |
| |
|
| | OncoCareBrain-GPT is a specialized large language model fine-tuned for oncology applications. Built upon the powerful Qwen2.5-3B foundation model, it has undergone supervised fine-tuning (SFT) with tens of thousands of multi-omics data samples, including genomic, pathological, and clinical data. This model is specifically designed to serve the cancer care domain with advanced reasoning capabilities. |
| |
|
| | ## Key Features |
| |
|
| | - **Intelligent Medical Q&A**: Quickly answers complex questions about cancer, leveraging a deep understanding of oncology concepts |
| | - **Precision Decision Support**: Recommends optimal treatment plans based on multi-dimensional data analysis |
| | - **Transparent Reasoning Process**: Generates detailed chains of thought to ensure model explainability and trust in clinical settings |
| |
|
| | ## Intended Uses |
| |
|
| | - **Clinical Decision Support**: Assists healthcare providers in evaluating treatment options |
| | - **Patient Education**: Helps patients better understand their condition and treatment plans |
| | - **Medical Research**: Supports researchers in analyzing cancer data and generating insights |
| |
|
| | ## Training Data |
| |
|
| | OncoCareBrain-GPT was fine-tuned on a diverse dataset comprising: |
| | - Genomic data |
| | - Pathological samples |
| | - Clinical records and case studies |
| |
|
| | The model was trained to generate detailed reasoning chains, provide personalized prognostic assessments, and suggest evidence-based treatment recommendations. |
| |
|
| | ## Technical Specifications |
| |
|
| | - **Base Model**: Qwen2.5-3B |
| | - **Parameters**: 3 billion |
| | - **Training Method**: Supervised Fine-Tuning (SFT) |
| | - **Language Capabilities**: English, Chinese |
| | - **Input Format**: Natural language |
| | - **Output Format**: Detailed explanations with chain-of-thought reasoning |
| |
|
| | ## Limitations |
| |
|
| | - The model should be used as a clinical decision support tool and not as a replacement for professional medical judgment |
| | - Recommendations should be verified by qualified healthcare professionals |
| | - Performance may vary depending on the complexity and rarity of cancer cases |
| | - While the model supports English and Chinese, performance might vary between languages |
| |
|
| | ## Ethical Considerations |
| |
|
| | - **Privacy**: The model operates on input data and does not store patient information |
| | - **Bias**: While efforts have been made to minimize biases, users should be aware of potential biases in training data |
| | - **Transparency**: The model provides reasoning chains to ensure transparency in its decision-making process |
| |
|
| | ## How to Use |
| |
|
| | ```python |
| | # Example code for model inference |
| | from transformers import AutoTokenizer, AutoModelForCausalLM |
| | |
| | tokenizer = AutoTokenizer.from_pretrained("DXCLab/OncoCareBrain-GPT") |
| | model = AutoModelForCausalLM.from_pretrained("DXCLab/OncoCareBrain-GPT") |
| | |
| | input_text = "Could you analyze this genomic profile and suggest potential treatment options for breast cancer with BRCA1 mutation?" |
| | inputs = tokenizer(input_text, return_tensors="pt") |
| | outputs = model.generate(**inputs, max_length=1000) |
| | response = tokenizer.decode(outputs[0]) |
| | print(response) |
| | ``` |
| |
|
| | ## Citation |
| |
|
| | If you use OncoCareBrain-GPT in your research, please cite: |
| |
|
| | ``` |
| | @misc{OncoCareBrain-GPT, |
| | author = {DXCLab}, |
| | title = {OncoCareBrain-GPT: A Specialized Language Model for Oncology}, |
| | year = {2025}, |
| | publisher = {Hugging Face}, |
| | howpublished = {\url{https://huggingface.co/DXCLab/OncoCareBrain-GPT}} |
| | } |
| | ``` |
| |
|
| | ## License |
| |
|
| | This model is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details. |
| |
|
| | ## Contact |
| |
|
| | For questions or feedback about OncoCareBrain-GPT, please visit our Hugging Face page at https://huggingface.co/DXCLab or open an issue in the repository. |
