A healthcare research institution struggled with analyzing massive amounts of patient data for early disease detection. Traditional methods lacked accuracy and efficiency.

Developed AI-powered predictive analytics models leveraging big data and machine learning to identify disease patterns and potential outbreaks in real-time.

Improved early disease detection accuracy by 85%, enabled faster decision-making for healthcare professionals, and enhanced patient outcomes with proactive treatments.