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Named Entity Recognition (NER) and advanced NLP techniques help Life Sciences organizations extract structured insights from unstructured text like research papers, clinical records, and genomic data. NER identifies and classifies entities (genes, proteins, diseases, drugs) through tokenization, feature extraction, and contextual analysis. Combined with techniques like information extraction, question answering, summarization, and sentiment analysis, these tools accelerate research, improve clinical care, enable knowledge graph construction, and support regulatory compliance in the data-rich Life Sciences domain.