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@openmederiai

OpenMederiAI

We build open-source AI for computational pathology, healthcare, and medical research.

OpenMederiAI

We build open-source AI for computational pathology, healthcare, and medical research.


About

Mederi is Latin for "to heal." OpenMederiAI is a community-driven initiative, built by the community, for the community. We develop and openly share AI methods, models, and benchmarks for healthcare so that anyone can reproduce, use, and improve them.

Focus Areas

  • Computational Pathology: histopathology image analysis, foundation models, explainable AI
  • Clinical AI: time-series modeling, robustness, and calibration
  • Biomedical NLP: retrieval-augmented generation for medical text
  • Genomics and Drug Discovery: sequence modeling and molecular property prediction

Principles

  • Community-driven: built in the open, with contributions welcome from researchers, clinicians, and developers.
  • Open: code, weights, and evaluation scripts are public where licenses allow.
  • Reproducible: documented environments and instructions to rerun every result.
  • Rigorous: careful data splits, leakage checks, and transparent reporting of limitations.

For research use only. Not for clinical diagnosis or treatment.

Contribute

OpenMederiAI grows through community contributions. Open an issue, submit a pull request, start a discussion to collaborate.

Pinned Loading

  1. Retinal-Layer-Segmentation Retinal-Layer-Segmentation Public

    Forked from saky-semicolon/Retinal-Layer-Segmentation

    Enhanced SegNet for interpretable retinal layer segmentation in OCT images using a hybrid loss and Grad-CAM for clinical trust.

    Python

  2. Listening-to-the-Lungs Listening-to-the-Lungs Public

    Forked from saky-semicolon/Listening-to-the-Lungs

    Hybrid CNN–BiLSTM with Attention and Explainable AI for Multi-Class Lung Disease Detection from Respiratory Sounds. Under Research!

    Python

Repositories

Showing 10 of 16 repositories

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