Explosive Growth Expected from Mobile Edge Computing
The most significant implication of using mobile edge computing seems to be a continued focus on efficient data processing and gaining timely insights.
How the healthcare industry uses real-time analytics, including to monitor patients, save lives, and enable staff location-management in medical facilities. Predictive medicine applications are also explored.
The most significant implication of using mobile edge computing seems to be a continued focus on efficient data processing and gaining timely insights.
The study wants to establish once and for all that virtual reality is a viable solution for high-stakes training, such as that in emergency services.
Delivering quality care digitally means having the platforms and tools that can sift through enormous volumes of data to rapidly identify issues.
DataOps can help heathcare organizations use modern data analytics practices and drive sound business practices that effectively reduce costs and increase …
AI could transform clinical trials for the better, unlocking the next generation of drug discovery and building new pipelines for pharmaceutical
Software AG’s General Manager of API, Integration and Microservices talks about digital transformation challenges and the technologies companies can use to …
Medical data is notoriously difficult to access. Before we see the true potential of predictive AI cooperation and legislation will be needed.
NLP helps researchers understand the virus because the immune system’s interpretation of protein signatures is akin to the brain’s interpretation of …
More than four out of five (82 percent) surveyed pharma companies believe quantum computing will impact the industry within the next decade.
As companies remerge from the pandemic, controlling costs is the new priority. As a result, the cost of innovation is being watched closer than