Use Cases of AI in Life Sciences With: Rajiv Haravu

Rajiv Haravu, SVP of Product Management at IMO Health, explains how AI is being applied in the life sciences industry. He highlights use cases such as literature reviews for drug development, information extraction from billions of documents, and sentiment analysis of social media during public health events. Haravu notes that pharma companies rely on real-world data aggregated by brokers, but data quality remains a major challenge due to variability across sources. He describes how AI methods, including LLMs and supervised machine learning, are used alongside traditional techniques to normalize and extract information at scale. Key applications include automating systematic literature reviews, improving structured datasets, and identifying key opinion leaders. Haravu also emphasizes the importance of continuous model monitoring to prevent performance drift.