// Predictive Modeling

Pulse Analytics

Leveraging real-time neural networks to predict patient outcomes across intensive care units.

Providing intensive care clinicians with early warning signs for patient deterioration before physical symptoms manifest.

Developed a real-time analytics pipeline that processes 10,000+ data points per second from bedside monitors using LSTM neural networks.

Early detection of sepsis in 85% of cases, potentially saving hundreds of lives.