Making healthcare and life science (HCLS) discoveries is time-consuming and requires considerable amounts of data. HPC enterprise infrastructure with AI and edge to cloud capabilities is required for biomedical research to make creating a human atlas of the body possible. The HPE, NVIDIA….
Intel, Winning Health and AMAX Jointly Optimize AI-aided Medical System to Empower Smart Healthcare
November 1, 2021 by
[Sponsored Post] As one of main application fields, the medical and healthcare industry has a soaring demand for AI technology and is increasing investment in it. To promote “healthcare + AI” and help to build a smart healthcare ecosystem, Winning Health Technology Group Co., Ltd., AMAX and Intel have made extensive cooperation in AI application. This case study, “Intel, Winning Health and AMAX Jointly Optimize AI-aided Medical System to Empower Smart Healthcare,” describes how….
Intel, Winning Health and AMAX jointly optimize AI-aided medical system to empower smart healthcare
October 26, 2021 by Leave a Comment
As one of main application fields, the medical and healthcare industry has a soaring demand for AI technology and is increasing investment in it. To promote “healthcare + AI” and help to build a smart healthcare ecosystem, Winning Health Technology Group Co., Ltd., AMAX and Intel have made extensive cooperation in AI application. This case study describes how the three parties have successfully innovated and optimized the application of AI-assisted devices in healthcare scenarios, further driving AI application in the medical industry.
Using AI to See What Eye Doctors Can’t
September 4, 2020 by Leave a Comment
This white paper explains how Voxeleron, a leader in delivering advanced ophthalmic image analysis and machine learning solutions, is extending ophthalmology’s diagnostic horizons with image analysis based on artificial intelligence (AI) models, trained using Dell Precision workstations with NVIDIA GPUs.
Modernizing Healthcare Workloads with Virtual GPU Technology
November 2, 2017 by Leave a Comment
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
November 2, 2017 by Leave a Comment
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
May 16, 2017 by
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
February 5, 2017 by
“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
December 9, 2016 by
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.”
