# Health and Life Sciences AI Suite Health and Life Sciences AI Suite is a collection of AI applications, libraries, and benchmarking tools to help developers build AI solutions for the field of health diagnostics. The suite provides pipelines and models optimized with the OpenVINO™ toolkit for accelerated performance on Intel® CPUs, integrated GPUs, and NPUs. It organizes workflows and capabilities tailored for clinical and diagnostic monitoring, with two preview samples: the Multi-Modal Patient Monitoring application and the NICU Warmer application. ## Health and Life Sciences AI Suite Samples ::::{grid} 1 1 2 2 :::{grid-item-card} Multi-Modal Patient Monitoring :class-card: homepage-card-container :link: ./edge-ai-suites/multi-modal-patient-monitoring/index.html Demonstrates the consolidation of multi-modal AI workloads on a single edge device. ::: :::{grid-item-card} NICU Warmer :class-card: homepage-card-container :link: ./edge-ai-suites/nicu-warmer/index.html Demonstrates the concurrent execution of five AI models to monitor newborns in hospital beds. ::: :::: ## Tools and Libraries ::::{grid} 1 2 2 2 :class-container: homepage-tool-container :::{grid-item} Deep Learning Streamer (DL Streamer) Open-source GStreamer framework-based media analytics framework used by video-centric applications. ::: :::{grid-item} DL Streamer Pipeline Server Python code-based, containerized microservice for video analytics pipelines built using DL Streamer. ::: :::{grid-item} OpenVINO™ Toolkit Optimizes and deploys AI models across Intel® hardware in cloud, edge, and on premises environments. ::: :::{grid-item} OpenVINO™ Model Server Hosts AI models via networks, e.g. enabling Multi-Modal Patient Monitoring to share a single monitoring model. ::: :::: :::{toctree} :hidden: Multi-Modal Patient Monitoring NICU Warmer ::: :::{toctree} :hidden: :caption: --------------- Get Help or Contribute :::