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How Big Data is Helping Monitor STD Rates and Get People Tested

In this contributed article, freelance human Avery Phillips discusses the importance of tracking data around infection rates, geographical location, and patient demographics for the continued treatment of STDs. This not only helps us understand how changes in communication will need to be made but also what populations need to be informed so that they can better understand their treatment. Managing big data like this and finding ways to implement it is where tech companies can step in to help with current STD rates and treatments.

Why AI is the Future of Prior Auths

In this contributed article, Ron Wince, Founder/CEO of Myndshft, examines the healthcare industry in light of a powerful argument to be made that both provider organizations and health plans can reap immediate, transformative results with AI by breaking ground on the business and administrative side of healthcare. Optimizing the prior authorization process is perhaps the most compelling example.

What’s Next? Learning Communities in AI and Healthcare

Artificial intelligence is making a difference to healthcare, right now. For more information on how to get involved in this important and growing sector, take advantage of the resources outlined in this post, including the Dell EMC Machine Learning Knowledge Center, Dell EMC Customer Solution Centers and the Deep Learning Institute by Dell EMC. These have been created for the purpose of sharing expertise and offering guidance for those interested in deep learning.

Finding a solution for AI in Healthcare

Dell EMC Ready Solutions for AI are integrated systems with validated hardware and software stacks optimized to accelerate AI initiatives, shortening the time to architect a new solution by six to twelve months. A new insideBIGDATA special report series explores the intersection of AI and medicine, and this entry provides a series of solutions for AI in healthcare, including Dell EMC Ready Solutions for AI.

From Safari to the Stratified Medicine: How Machine Learning Connects the Dots to Create a Future Health Trajectory

In this contributed article, Ori Geva, the Co-Founder and CEO of Medial EarlySign, describes a clear parallel between the work of the professional animal tracker and the use of machine learning in healthcare. Both share the ability to harmonize data to tell a potentially meaningful story. Through both experience and inherited learning, they know how to identify and connect the dots.

AI in Medicine: Developments in Radiology, Genomics & Diagnostics

Next-generation radiology tools may remove the need for tissue sampling and greatly expand the area of delivery. And the translational Genomics Research Institute’s (TGen) Center for Rare Childhood Disorders is using machine learning for genetic sequencing. Part of an insideBIGDATA special report series on AI and healthcare, this entry highlights some of the latest developments in AI in medicine, including progress in radiology, genomics and diagnostics.

Impressive Healthcare AI results for Vision Research & Cancer Treatment

This post explores the latest research and AI innovation in vision research and cancer treatment. Learn more about CSIRO’s bionic vision research, powered by the Dell EMC PowerEdge servers. And find out how Gustave Roussy, a leading European center for cancer treatment, sought to increase the processing capabilities of its bioinformatics platform to support more genome analyses per day while enhancing research programs, via a new insideBIGDATA special report.

Exploring the Application of AI Within Healthcare

AI is already having a profound impact on patient care. Machine learning and deep learning build the fundamentals to an AI system, and by taking a holistic approach to the data being generated within healthcare, AI-enabled systems can help to assess risk and facilitate improved human decision making. This insideBIGDATA special report article delves into the application of AI within healthcare, as well as the impact and challenges of these new tools. 

Medical Device Security: Ensuring Data Integrity

In this contributed article, technology writer and blogger Kayla Matthews suggests that one of the best ways to make healthcare smarter, more accurate and more engaging is by gathering data on a huge scale and then using it to gather insights into individual patient conditions as well as the effectiveness of treatments over a much broader scale.

Innovation in Data Management Accelerating Neuroscience, Virtual Reality, and Early Cancer Diagnosis

A research company using Artificial Intelligence (AI) in the fight against cancer. An animation studio creating films and virtual reality (VR) amusement parks. A team of scientists deepening our understanding of the human brain. All struggled to manage massive amounts of unstructured data, until they turned to Seattle-based Igneous – the leader in Unstructured Data Management (UDM) – and its as-a-Service, high-performance data management solution.