Explore the fundamentals of biomedical text mining in this lecture from the "Machine Learning for Health and Disease" program. Delve into techniques for extracting valuable information from medical literature and clinical documents. Learn how natural language processing and machine learning algorithms can be applied to analyze vast amounts of biomedical text data. Discover methods for named entity recognition, relation extraction, and knowledge discovery in the biomedical domain. Gain insights into the challenges and opportunities of processing unstructured medical text to support clinical decision-making, drug discovery, and public health research. This lecture is part of a comprehensive program bringing together experts in machine learning, statistics, clinical practice, and public health to discuss the application of computational techniques in healthcare and biomedicine.