Classes

    Deep Learning for Biomedical Image Analysis

    Semester: 

    Spring

    Offered: 

    2020

    Advances in the AI method of deep learning have the potential to transform how biomedical data is analyzed for research, clinical diagnosis and prognosis. This nanocourse will deliver information and allot guided practice so that anyone can apply the principles and algorithms of deep learning to process and analyze their own biomedical images. The purpose of the course is to deliver practical knowledge of deep learning for image analysis including possibilities, current limitations and challenges. Participants with and without programming experience are encouraged to attend!

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    Toxicity of Cancer Therapy - Lessons from Metabolomics

    Semester: 

    Spring

    Offered: 

    2020

    Course Description and Assignments
    Chemotherapy is the cornerstone of modern cancer therapy and is an effective treatment, but is often accompanied by toxicity. In this course we will discuss current chemotherapies and their drawbacks, and we will learn about cutting edge advances in cancer treatment and future goals for the field. We will focus on brain toxicity following chemotherapy, a common condition that influences...

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