AI Biomedical Applications Workshop
Learn how to create biomedical AI applications and deploy them with Python, Scikit-Learn, Docker, Kubernetes, and PyTorch. Detect Parkinson’s disease and metastatic cancer, gaining the skills to tackle real-world biomedical problems.
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.
