AI Biomedical Applications Workshop
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Learn how to create biomedical AI applications and deploy them with this comprehensive course. Discover the basics of AI and machine learning, build models to detect Parkinson’s disease and identify metastatic cancer. Gain practical skills to tackle real-world biomedical problems and contribute to healthcare innovation.
At a Glance
In three fascinating projects, learn how to create biomedical AI applications and deploy them. First, you’ll discover the basics of AI and machine learning using Python and Scikit-Learn, building a model to detect Parkinson’s disease from voice patterns. Next, you’ll dive into deploying a Parkinson’s detection app using Docker and Kubernetes, no prior knowledge is needed. Finally, using PyTorch and computer vision techniques, you’ll develop an algorithm that identifies metastatic cancer from digital pathology scans. By the end, you’ll have the skills to tackle real-world biomedical problems.
This course covers machine learning in the biomedical field through three projects. You will learn how to build and deploy AI models, including detecting Parkinson’s Disease and identifying metastatic cancer. By the end, you’ll be equipped with practical skills to apply machine learning to real-world problems and contribute to healthcare innovation.
