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@lab-rasool

Rasool Lab @ Moffitt Cancer Center

Researchers dedicated to advancing cancer care through multimodal machine learning and trustworthy AI
README.md

Rasool Lab (CaMiL)

Moffitt Cancer Center, Tampa, FL, USA
🏥 Website | 🤗 Hugging Face | 📨 [email protected]

Welcome to the Cancer Multimodal AI Lab (CaMiL). We are a team of researchers dedicated to advancing cancer care through multimodal machine learning and trustworthy AI. Our lab is a part of the Department of Machine Learning at Moffitt Cancer Center, where we collaborate with clinicians and industry partners to develop innovative AI technologies that can improve cancer care outcomes. Our research focuses on image analysis, natural language processing, and predictive modeling. We are passionate about translating our research into real-world applications, and our team constantly explores new ideas and methods to solve challenging problems in cancer care. Please explore our website to learn more about our research, team, and collaborations.

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  1. Awesome-Medical-VLMs-and-Datasets Awesome-Medical-VLMs-and-Datasets Public

    A list of VLMs tailored for medical RG and VQA; and a list of medical vision-language datasets

    142 8

  2. MINDS MINDS Public

    🧠 | Multimodal Integration of Oncology Data System

    JavaScript 7

  3. SeNMo SeNMo Public

    A Self-Normalizing DL Model for Enhanced Multi-Omics Data Analysis in Oncology

    Jupyter Notebook 4 1

  4. HoneyBee HoneyBee Public

    🐝 | From Data to Prognosis: Embedding Multimodal Oncology Data for Precision Medicine

    Jupyter Notebook 8

  5. Radiology-reporting-with-LLMs Radiology-reporting-with-LLMs Public

    Improving radiology report conciseness and structure via locally run Large Language Models (LLMs)

    Jupyter Notebook 1

  6. EAGLE EAGLE Public

    🦅 | Efficient Alignment of Generative Language and Embedding models

    Python 1

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