After surgery, chemotherapy, and radiation didn't work, Bryce Olson went outside the lines to fight his cancer. Genomic sequencing pinpointed the genesis of his disease, leading to the right treatment at the right time. Intel and the Broad Institute are accelerating the compute-intensive biomedical research behind precision medicine and AI-based discovery.
When Danielle Collins’s brain was bleeding, her doctors quickly created a 360-degree VR model of her brain to explore the best treatment approach and let her experience it as well. High performance computing (HPC) powered by Intel allows Surgical Theater to deliver compute-intensive immersive experiences that improve the patient experience and prepare surgeons for the best outcomes.
New York’s Montefiore Health System needed to serve its diverse patient population better and more efficiently. Partnering with Intel, Montefiore deployed AI and predictive analytics systems to see patterns in enormous amounts of patient data. Now they identify patients at risk of developing acute conditions and intervene earlier, improving care and lowering costs.
The Intel® Pharma Analytics Platform (Intel® PAP) is an edge-to-cloud artificial intelligence (AI) solution that enables remote monitoring to capture clinical data from study subjects using a variety of sensors, including wearable devices.
Intel and Philips show the potential of using the OpenVINO™ toolkit to deliver cost-effective AI-driven medical imaging solutions.
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.
Revolutionizing Drug Discovery Pipelines with 3D Proteins Imaged at Near-Atomic Resolutions with Intel® Scalable System Framework (Intel® SSF).
Explore how predictive analytics transforms healthcare delivery. Utilizing the artificial intelligence solutions, machine learning, and reasoning systems, predictive analytics analyzes historical data to create insights for future events. Discover how your healthcare business can benefit with this whitepaper.
As risk shifts from payers to providers, prevention-led population health management strategies are becoming key to managing that risk.
According to a recent Forrester survey, 90 percent of healthcare organizations have implemented analytics and/or plan to do so in the next 12 months.
This graphic considers how increased data collection in the healthcare industry necessitates advanced analytics solutions to create valuable patient insights.
Research shows how machine learning can help doctors discern between two very serious heart conditions with very similar symptoms.
Top considerations for implementing the right strategy in the shift to value-based care.
The Predictive Model Toolkits are designed to help make predictive clinical analytics more accessible for healthcare organizations by offering pre-defined models, test data, implementation guides, and data science notebooks. Start developing today.
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One-size-fits-all is out. The healthcare solutions of the future use an individual’s genes and high-powered computing to produce personalized treatments for each patient, identify genetic defects causing different cancers, and develop targeted therapies that kill harmful cells while leaving healthy ones intact.
The more engaged patients are in managing their own care, the better their health outcomes and experience. Learn how Intel makes data more secure, efficient, and accessible, putting collaborative care within reach for healthcare providers and patients.