🧬 MedAlpaca-Blood-Finetuned

MedAlpaca-Blood-Finetuned is a fine-tuned medical language model specialized in clinical interpretation of blood test results.
It is built on top of MedAlpaca-7B and refined using a curated dataset of laboratory parameters and their clinical significance.

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🧠 Model Details

Model Description

This model is trained to understand, explain, and reason about blood test parameters, including:

• Normal and abnormal ranges

• Clinical significance

• Possible diseases or conditions associated with each parameter

• Base Model: medalpaca/medalpaca-7b

• Fine-tuned By: Jahnavi Ganapati (@ganapati-jahnavi)

• Language: English

• License: Apache 2.0

• Framework: PEFT (LoRA)

• Hardware: NVIDIA CUDA GPU (Colab T4)

• Fine-tuning Epochs: 2

• Precision: bfloat16 mixed precision

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🚀 Use Cases

Direct Use

• Clinical reasoning for medical professionals or students
• Automated lab report summarization
• Educational explanation of lab test results

Downstream Use

• Integration into healthcare chatbots or EMR systems
• Further fine-tuning for multi-modal clinical agents

Out-of-Scope Use

⚠️ This model should not be used for real clinical decision-making without expert supervision.
It is meant for educational and research purposes only.

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⚖️ Bias, Risks, and Limitations

• Model responses depend entirely on training data accuracy.
• May not generalize to all populations or lab measurement standards.
• Should not be used as a substitute for medical advice.

Recommendations

Use this model under supervision by qualified clinicians or educators.
Always verify outputs with trusted medical sources.

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💻 How to Use

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• PEFT 0.10.0