This whitapaper reviews biomedical waste management practices and proposes an AI-enabled validation model for compliance and safety. HCLTech emphasizes the use of IoT sensors and machine learning to track segregation, treatment, and disposal in real time. The paper analyzes global regulatory frameworks and suggests data-driven process validation to reduce contamination risks, improve sustainability, and ensure healthcare safety.

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