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Modernizing Healthcare Workloads with Virtual GPU Technology

In the healthcare sector, clinicians are increasingly using mobile devices such as smartphones, tablets, and personal laptops to access patient records and more. Many hospitals have turned to virtualization and virtual GPU technology to offer greater mobility, security, and IT manageability. Download the report from HPE that explores how virtual GPU technology is modernizing healthcare. 

Revolutionizing Healthcare With Artificial Intelligence

Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.

Genome Analytics Driving a Healthcare Revolution

Next-generation sequencing methods are empowering doctors and researchers to improve their ability to treat diseases, predict and prevent diseases before they occur, and personalize treatments to specific patient profiles. “With this increase in knowledge comes a tidal wave of data. Genomic data is growing so quickly that scientists are predicting that this data will soon take the lead as the largest data category in the world, eventually creating more digital information than astronomy, particle physics and even popular Internet sites like YouTube.”

IBM Collaborates with FDA on Blockchain Health Data

“The healthcare industry is undergoing significant changes due to the vast amounts of disparate data being generated. Blockchain technology provides a highly secure, decentralised framework for data sharing that will accelerate innovation throughout the industry,” said Shahram Ebadollahi, vice president for innovations and chief science officer, IBM Watson Health.

Nvidia Powers Deep Learning for Healthcare at SC16

In this video from SC16, Abdul Hamid Al Halabi from Nvidia describes how the company is accelerating Deep Learning for Healthcare. “From Electronic Health Records (EHR) to wearables, every year the flood of heterogeneous healthcare data increases exponentially. Deep learning has the power to unlock the potential within this data.Harnessing the power of GPUs, healthcare and medical researchers are able to design and train more sophisticated neural networks—networks that can accelerate high-throughput screening for drug discovery, guide pre-operative strategies, or work in conjunction with traditional techniques and apparatus to detect invasive cancer cells in real-time during surgery.”