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[![Multi-Modality](agorabanner.png)](https://discord.com/servers/agora-999382051935506503)
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# Python Package Template
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# **MedInsight Pro**
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**Tagline**: *Revolutionizing Medical Research Summarization for Healthcare Innovators*
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[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)
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A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more
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**MedInsight Pro** is an AI-driven agent that streamlines the process of extracting actionable insights from the vast expanse of medical research. Designed for healthcare professionals, researchers, and innovators, it leverages cutting-edge NLP models (such as GPT-4) and integrates with leading medical data sources like PubMed and Semantic Scholar. This powerful agent reads and summarizes complex medical papers in real-time, identifying breakthrough treatments, clinical trials, and emerging trends to provide concise, relevant, and actionable insights.
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MedInsight Pro saves time, ensures accuracy, and empowers healthcare leaders to make data-driven decisions based on the latest research — all while providing a user-friendly interface for rapid deployment in enterprise environments.
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### Overview
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**MedInsight Pro** is a cutting-edge AI agent designed to transform the way healthcare professionals and researchers access and digest critical medical research. Using advanced Natural Language Processing (NLP) and data mining techniques, MedInsight Pro automatically summarizes complex medical literature, highlighting key insights such as potential treatments, clinical trials, and medical breakthroughs. This enterprise-grade tool is built for healthcare providers, research institutions, and innovative biotech companies to help them stay at the forefront of medical knowledge.
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### Features
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- **Advanced NLP**: Utilizes the GPT-4 model for processing and understanding dense medical research, delivering concise summaries.
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- **Real-Time Data Retrieval**: Seamlessly integrates with PubMed, Semantic Scholar, and other medical research databases.
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- **Actionable Insights**: Extracts actionable information from large volumes of research papers, clinical trials, and medical journals.
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- **Customizable Parameters**: Adjust settings such as context length, summarization depth, and data sources to suit specific needs.
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- **Scalable Integration**: Easily deployable in enterprise environments, with built-in API support for large-scale operations.
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## Installation
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### Value Proposition
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MedInsight Pro delivers precise, data-driven insights for healthcare leaders, researchers, and innovators. Whether you're a medical researcher looking for the latest breakthroughs or a clinician needing to stay updated on treatment options, MedInsight Pro is your indispensable tool for managing medical knowledge. With MedInsight Pro, you can:
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You can install the package using pip
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- **Save Time**: Rapidly scan and summarize thousands of medical research papers in minutes.
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- **Enhance Decision-Making**: Leverage AI-powered insights to stay on top of the latest medical advancements.
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- **Drive Innovation**: Discover potential treatments, clinical trials, and breakthroughs from the most trusted sources in the medical field.
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---
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### Installation
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```bash
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pip install -e .
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# Clone the repository
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git clone https://github.com/yourusername/medinsight-pro.git
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# Navigate to the project directory
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cd medinsight-pro
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# Install required dependencies
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pip install -r requirements.txt
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```
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# Usage
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```python
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print("hello world")
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### API Keys Setup
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MedInsight Pro requires access to the OpenAI API, PubMed, and Semantic Scholar APIs. You’ll need to set up environment variables for these keys:
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```bash
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export OPENAI_API_KEY="your-openai-api-key"
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export PUBMED_API_KEY="your-pubmed-api-key" # Optional, but increases rate limits
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export SEMANTIC_SCHOLAR_API_KEY="your-semantic-scholar-api-key"
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```
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### Usage
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```python
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from medinsight_pro import MedInsightPro
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### Code Quality 🧹
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# Initialize the MedInsight Pro agent
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agent = MedInsightPro()
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- `make style` to format the code
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- `make check_code_quality` to check code quality (PEP8 basically)
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- `black .`
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- `ruff . --fix`
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# Run a query to summarize the latest medical research on COVID-19 treatments
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output = agent.run(query="COVID-19 treatments")
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print(output)
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```
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### Tests 🧪
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### Integration
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MedInsight Pro can be easily integrated with existing medical research platforms and enterprise applications:
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[`pytests`](https://docs.pytest.org/en/7.1.x/) is used to run our tests.
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- **PubMed Integration**: Automatically fetches and processes research papers from PubMed.
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- **Semantic Scholar Integration**: Retrieves and summarizes the latest relevant papers from Semantic Scholar.
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- **Enterprise-Ready**: Scale the agent to handle thousands of papers with built-in configuration for API rate limits and retries.
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### Publish on PyPi 🚀
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---
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**Important**: Before publishing, edit `__version__` in [src/__init__](/src/__init__.py) to match the wanted new version.
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### Example
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```
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poetry build
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poetry publish
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```
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Here’s an example of MedInsight Pro in action, summarizing research papers on **Alzheimer’s Disease Treatments**:
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### CI/CD 🤖
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```python
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output = agent.run(query="Alzheimer’s disease treatments")
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print(output)
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```
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We use [GitHub actions](https://github.com/features/actions) to automatically run tests and check code quality when a new PR is done on `main`.
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**Sample Output**:
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On any pull request, we will check the code quality and tests.
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```txt
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PubMed Research Papers:
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- Title: A New Therapeutic Target for Alzheimer's Disease
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Summary: This study identifies a potential therapeutic target in the progression of Alzheimer's Disease...
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When a new release is created, we will try to push the new code to PyPi. We use [`twine`](https://twine.readthedocs.io/en/stable/) to make our life easier.
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Semantic Scholar Research Papers:
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- Title: The Role of Amyloid Beta in Alzheimer's Disease
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Authors: John Doe, Jane Smith
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Abstract: In this paper, we explore the correlation between Amyloid Beta buildup and the progression of Alzheimer's Disease...
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The **correct steps** to create a new realease are the following:
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- edit `__version__` in [src/__init__](/src/__init__.py) to match the wanted new version.
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- create a new [`tag`](https://git-scm.com/docs/git-tag) with the release name, e.g. `git tag v0.0.1 && git push origin v0.0.1` or from the GitHub UI.
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- create a new release from GitHub UI
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Combined Summary:
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Recent research has identified new therapeutic targets in Alzheimer's Disease, with studies showing potential in slowing disease progression. Key findings include...
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```
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The CI will run when you create the new release.
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---
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# Docs
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We use MK docs. This repo comes with the zeta docs. All the docs configurations are already here along with the readthedocs configs.
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### Contributing
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We welcome contributions from the community to enhance **MedInsight Pro**. Please submit a pull request or raise an issue if you encounter any bugs or have feature requests!
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### Roadmap
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- [x] Integration with PubMed and Semantic Scholar APIs
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- [ ] Expand to additional medical databases (e.g., ClinicalTrials.gov)
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- [ ] Add support for more advanced NLP models (e.g., custom-trained medical summarization models)
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- [ ] Develop a dashboard for real-time insight monitoring and visualization
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---
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# License
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MIT
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### License
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MedInsight Pro is released under the MIT License. See the [LICENSE](LICENSE) file for more information.

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