In today’s world AI is a hot topic of discussion at every start-up and in every boardroom. The current state of computing power, cloud computing and numerous enabling technologies are empowering many industries to become efficient, one such industry is Healthcare! Leaders in healthcare are opening doors to innovation and exploring latest technologies that are […]
Search Results for: healthcare
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.
Why Healthcare May Be the Hottest Industry Sector for Data Analysts in 2018
September 30, 2017 by Leave a Comment
In this contributed article, freelance human Avery Phillips discusses how if you’re a data analyst in search of a secure industry on which to hang your hat, rather than heading to Silicon Valley to join (or begin) a startup, you might consider pursuing work with a local hospital or public health clinic.
The Promise of IoT-Connected Healthcare: a Diabetic Emergency
September 10, 2017 by 1 Comment
In this contributed article, Brendan O’Brien, co-founder and chief innovation officer of Aria Systems, considers a hypothetical type 2 diabetic emergency as an example of the importance of an Internet of Things (IoT) connected “lifesaver” sensor.
Healthcare, Cybersecurity, and Innovation in the Wearable Technology Market
August 27, 2017 by 3 Comments
In this contributed article, freelance human Avery Phillips discusses how the amount of innovation we’re experiencing in the medical IoT and wearable technology market is huge, and there’s enormous potential for more effective, efficient, and cost-effective management of chronic diseases and public health concerns like heart disease and diabetes.
Is Customized Healthcare a Near Term Reality?
July 24, 2017 by Leave a Comment
In this special guest feature, Abdul Hamid Halabi, the global business development lead for healthcare and life sciences at NVIDIA, discusses how personalized or precision medicine is becoming a reality with the help of a machine learning method called deep learning.
Big-Data & Analytics in Healthcare
July 19, 2017 by
We have already experienced a decade of progress in digitizing medical records, as pharmaceutical companies and other organisations aggregate years of research and development data in electronic databases. Federal government and other public stakeholders have also accelerated the move toward transparency by making decades of stored data usable, searchable, and actionable by the healthcare sector. […]
3 Reasons How Natural Language Processing Can Help Healthcare Providers
June 15, 2017 by Leave a Comment
In this special guest feature, Ravi Gopalan, Founder & Chief Technology Officer at Binary Fountain, discusses how healthcare providers can begin to understand and act on the increasing amount of data with patient feedback management solutions using healthcare-specific natural language processing (NLP).
How NLP Can Help Healthcare “Catch Up”
May 16, 2017 by 1 Comment
In this special guest feature, Simon Beaulah, Senior Director of Healthcare at Linguamatics, discusses how natural language processing (NLP) has become a crucial tool in healthcare and the life sciences as these sectors struggle to catch up to other industries and transform their big data into actionable data.
Medable Launches Cloud-Based Machine Learning Solution for Healthcare
May 6, 2017 by Leave a Comment
MEDABLE Inc., a leading application and analytics platform for healthcare, announced Cerebrum, the first cloud-based machine learning solution created specifically for healthcare apps. Cerebrum leverages data gathering smartphones with a first-of-its-kind machine learning engine, resulting in health events becoming more easily predicted, such as warning an elderly relative when he is at greatest risk of a fall, or preventing an asthmatic child from triggering a life threatening episode.
