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

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 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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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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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 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

A data driven approach to transforming care delivery.

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.

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.

Related Blogs

Intel and Partners Come Together to Solve Healthcare

Intel and Partners Come Together to Solve Healthcare

At the SOLVE: Healthcare event last week, Intel’s Navin Shenoy noted that healthcare in the United States is in crisis, making up a shockingly large 18 percent of U.S. GDP.

Digital Phenotyping and Healthcare

Digital Phenotyping and Healthcare

Healthcare is getting better and better at predicting patient outcomes. AI is getting more adept at interpreting and offering insight from diagnostic data.

Intel-Powered AI Helps Diagnose Heart Disease

Doctors have long relied on experience and instinct to make diagnoses. Now artificial intelligence can help with the hardest cases.

Precision Medicine: Setting Data Free to Save Lives

Precision medicine’s breakthroughs are achieved with data—so why is hoarding still such a problem, and what can be done to solve it?

Intel and Broad Institute Deliver Genomics Research – Again

Genomics holds real promise to improve healthcare for countless patients worldwide.

Biomedical Image Segmentation with Intel Optimizations for TensorFlow*

We’ve recently applied the U-Net architecture to segment brain tumors from raw MRI scans. With relatively little data we are able to train a U-Net model to accurately predict where tumors exist.

Powering Precision Medicine with Artificial Intelligence

Precision medicine is one of the most exciting and encouraging advances in healthcare today.

Image Classification for HLS

At Intel, we’re quite interested in how systems can be made smarter to solve meaningful tasks relevant to healthcare providers and patients today.

Beyond Imaging: the paradox of AI and medical imaging innovation

How AI helps us see inside the body, and see the future – but only if it’s invisible.

Data Analytics and AI are Just What the Doctor Ordered

The healthcare industry is ripe for adoption of multiple aspects of artificial intelligence (AI).

Applying Deep Learning to Genomics Analysis

Synthetic Genomics, Incorporated (SGI) is a synthetic biology company that aims to bring genomic-driven solutions to market.

Intel iQ

More HLS Stories on Intel iQ

Hardware & Software Resources

Intel® Xeon® Scalable Processors

Optimized Genomics Codes from Intel

Genome Analysis Toolkit

OpenVINO™ Toolkit

Intel® Saffron™ Platform

Intel® Movidius™ Technology

BigDL on Apache Spark*