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ersilia-os/pharmacogx-app

Domain:

healthcare

Record type:

software
Creator:
ers
Host:
An app to browse AI-based pharmacogenomics predictions relevant to African populations, with the H3D Centre. # Browse AI-Based Pharmacogenomics Predictions Relevant to African Populations This application provides a user-friendly interface to explore pharmacogenomics predictions, with a particular focus on data relevant to Africa. ## Project Overview This project is a collaboration between the Ersilia Open Source Initiative and the H3D Center. The primary objective is to identify genes that could potentially influence drug responses. We wrote about this in a comment in Nature: Turon et al, 2024. For a more comprehensive understanding of the project, please visit pharmacogx-embeddings, the central GitHub repository of the project. This application provides a straightforward way to explore predictions derived from a combination of embedding-based drug-gene ranking and GPT-4 assisted re-ranking. For each drug, we offer 10 high-quality prioritized genes and 40 additional predictions of lower confidence. ## How to Use To use this application, you first need to install the necessary dependencies. You can do this by running the following command in your terminal: ```bash pip install -r requirements.txt ``` Once the dependencies are installed, you can start the application using Streamlit with the following command: ```bash streamlit run app/app.py ``` ## Online Demo For those who prefer not to install the application locally, we provide an online demo that you can access here: pharmacogx-app.streamlit.app ## Disclaimer Please be aware that the data presented in this application is the result of extensive use of machine learning and AI models. While we strive for accuracy, the results are intended for research purposes only. They should not be used to inform clinical decision-making without further validation. ## About Learn more about the Ersilia Open Source Initiative in the Ersilia GitHub profile. Ersilia is a non-profit organization aimed at supporting infectious disease research in the Global South.

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