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  # Rasool Lab (CaMiL)
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- πŸ₯ Moffitt Cancer Center, Tampa, FL, USA
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- [Website](https://lab.moffitt.org/Rasool/) | [Hugging Face](https://huggingface.co/Lab-Rasool)
 
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  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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- - πŸ“¨ Email: [[email protected]](mailto:[email protected])
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- - πŸ”— Lab website: https://lab.moffitt.org/Rasool/
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- - πŸ”— GitHub: https://github.com/lab-rasool
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  # Rasool Lab (CaMiL)
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+ Moffitt Cancer Center, Tampa, FL, USA
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+ πŸ₯ [Website](https://lab.moffitt.org/Rasool/) | πŸ§‘β€πŸ’» [GitHub](https://github.com/lab-rasool) | πŸ“¨ [[email protected]](mailto:[email protected])
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  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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