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.
What will it take to make genome sequencing part of everyday cancer care? People-centered research from Intel identifies roadblocks and suggests remedies.
A data driven approach to transforming care delivery.
Research shows how machine learning can help doctors discern between two very serious heart conditions with very similar symptoms.
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.
Intel® technologies and Caffe* optimized for Intel® architecture help speed deep-learning throughput for efficient, high-quality, and cost-effective eye-health screening.
Doctors have long relied on experience and instinct to make diagnoses. Now artificial intelligence can help with the hardest cases.
Precision medicine’s breakthroughs are achieved with data—so why is hoarding still such a problem, and what can be done to solve it?
Genomics holds real promise to improve healthcare for countless patients worldwide.
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.
Precision medicine is one of the most exciting and encouraging advances in healthcare today.
At Intel, we’re quite interested in how systems can be made smarter to solve meaningful tasks relevant to healthcare providers and patients today.
How AI helps us see inside the body, and see the future – but only if it’s invisible.
The healthcare industry is ripe for adoption of multiple aspects of artificial intelligence (AI).
Synthetic Genomics, Incorporated (SGI) is a synthetic biology company that aims to bring genomic-driven solutions to market.