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@BiomedSciAI

BiomedSciAI

BiomedSciAI

🙋‍♀️ What is BiomedSciAI?

Our mission is to accelerate scientific discovery in Biomedical Sciences through a variety of tools that can help scientists do their research quicker and more effectively.

Whether you use population-scale data like EHRs, body-part data like medical imaging, subcellullar-scale data like spatially resolved omics, or a combination of various modalities, we host tools that will help you make the most out of it.

🌈 How can I get involved?

If you want to contribute and get involved check out the guidelines of the repository of your interest and our code of conduct.

👩‍💻 How can I use it?

We have plenty of stuff you can do with BiomedSciAI. A good starting point is to check out the pinned repositories. You can find all implementation details and some examples in the docs.

Try out the examples in the repositories that we prepared for various applications.

Pinned Loading

  1. fuse-med-ml fuse-med-ml Public

    A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)

    Python 145 36

  2. causallib causallib Public

    A Python package for modular causal inference analysis and model evaluations

    Python 778 102

  3. biomed-multi-alignment biomed-multi-alignment Public

    We introduce ibm/biomed.omics.bl.sm.ma-ted-458m. A biomedical foundation model trained over 2 billion biological samples across multiple modalities, including proteins, small molecules, and single-…

    Python 35 14

  4. biomed-multi-view biomed-multi-view Public

    This repository contains the implementation of the Multi-view Molecular Embedding with Late Fusion (MMELON) architecture. MMELON combines molecular representations from three views — image, graph, …

    Python 26 7

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