Health & Life Sciences

The promise of AI in healthcare and life sciences is profound. It can help physicians and researchers prevent disease, speed recovery and save lives, by unlocking complex and varied data sets to develop new insights. AI can speed genomics processing and make medical image analysis faster and more accurate for personalized treatment. It can also be used to detect and correct massive waste, fraud and abuse in healthcare spending.

Customer Spotlights

Philips

Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators.

Broad Institute

Intel employee Bryce Olson was diagnosed with stage 4 prostate cancer. When the standard of care didn’t work, Bryce turned to genomic sequencing which allowed his doctors to identify specific genetic drivers of his disease and identify specific treatments and clinical trials that were a fit for his specific cancer. This precision medicine approach helped send his cancer into remission for several years.

Accuhealth

AccuHealth captures patient data using smart biometric sensors and a home-based monitoring device, and then analyzes the data in their Intel® Xeon® processor-based datacenter, tracking patients’ conditions, predicting beneficial interventions, and driving new discoveries. With this data-focused approach, AccuHealth is shifting care from a reactionary, facility-based model to a proactive, home-based model. When treating patients with highly complex disease states, AccuHealth has reduced ER visits by an average of 42% and costs to insurers by an average of 50% per patient.
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GE Healthcare

GE Healthcare is accelerating a deep learning solution for medical imaging. Using Intel® Xeon® processors and optimization tools, the solution classifies and tags siloed images, simplifying identification for research or clinical comparison. By optimizing its solution with the Intel® Deep Learning Deployment Toolkit and the Intel® Math Kernel Library for Deep Neural Networks, GE improved throughput an average of 14x, exceeding goals nearly 6x over. Researchers can now achieve faster inferencing performance on the same cost-effective infrastructure that handles local image-processing tasks—lowering the total cost of ownership by up to 25 percent.
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Novartis

Intel collaborates with Novartis* on the use of deep neural networks (DNN) to accelerate high content screening – a key element of early drug discovery.
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Sharp Healthcare

Leading hospitals are using data analytics, machine learning, and artificial intelligence to identify which patients are most at risk so they can respond more swiftly to life-threatening events.
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Solutions

Accelerate Genomics Research

Accelerate Genomics Research with the Broad-Intel Genomics Stack*

Learn how the Broad-Intel Genomics Stack* (BIGstack*), running on the latest- generation Intel® Xeon® processors and other Intel® technologies, can improve latency and throughput—powering new insights quickly.

Intel Speeds Genomics

Intel Speeds Genomics to Transform Cancer Care

What will it take to make genome sequencing part of everyday cancer care? People-centered research from Intel identifies roadblocks and suggests remedies.

Predictive Analytics in Healthcare

Predictive Analytics in Healthcare

A data driven approach to transforming care delivery.

Intel Healthcare Transformation

Intel Healthcare Transformation

Leading hospitals are using data analytics, machine learning and artificial intelligence to identify which patients are most at risk so they can respond more swiftly to life-threatening events.

Aier Eye Hospital Brings Deep Learning to Blindness Prevention

Deep Learning for Blindness Prevention

Intel® technologies and Caffe* optimized for Intel® architecture help speed deep-learning throughput for efficient, high-quality, and cost-effective eye-health screening.

Deep Learning for Medical Imaging with Intel and Philips

Intel teamed up with Philips to show that servers powered by Intel® Xeon® Scalable processors could be used to efficiently perform deep learning inference on patients’ X-rays and computed tomography (CT) scans, without the need for accelerators.

Training Deep Convolutional Neural Networks with Horovod* on Intel® High Performance Computing Architecture

This paper reviews a biomedical image segmentation project conducted in partnership with the AI team at General Electric’s Global Research Center. We begin by …

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Hardware & Software Resources

Intel® Xeon® Scalable Processors

New Intel® Xeon® Scalable processors are workload-optimized to support hybrid cloud infrastructures and the most high-demand applications.

Optimized Genomics Code

Optimized Genomics Codes from Intel

Healthcare today finds itself in the midst of a dramatic transformation. Big changes are being driven in part by the converging trends: explosion in genomic data and plummeting gene sequencing cost.

Genome Analysis Toolkit

Genome Analysis Toolkit

A software package developed at the Broad Institute to analyze next-generation sequencing data.

OpenVINO

OpenVINO™ Toolkit

Make your vision a reality on Intel® platforms—from smart cameras and video surveillance to robotics, transportation, and more.

Movidius

Intel® Movidius™ Technology

The Intel VPU will allow developers to build and deploy the next generation of deep neural network applications on Windows clients.

BigDL on Apache Spark

BigDL on Apache Spark*

BigDL is a distributed deep learning library for Apache Spark*. Using BigDL, you can write deep learning applications as Scala or Python* programs and take advantage of the power of scalable Spark clusters.