Explore advanced techniques in biomedical text mining in this 37-minute lecture by Sudeshna Sarkar, part of the "Machine Learning for Health and Disease" program at the International Centre for Theoretical Sciences. Delve into cutting-edge methods for extracting valuable information from medical literature and clinical documents. Learn how to apply natural language processing and machine learning algorithms to analyze large volumes of biomedical text data. Discover approaches for named entity recognition, relation extraction, and knowledge graph construction in the biomedical domain. Gain insights into the challenges and opportunities of leveraging text mining to support clinical decision-making, drug discovery, and medical research.