Printed electronics are being vouched as the next best thing in Internet of Things (IoT), the technology that is rightly regarded as a boon of advancing technology. Silicon-based sensors are the first that have been associated with IoT technology. These sensors have numerous applications, such as track data from airplane, wind turbines, engines, and medical devices, amongst other internet connected devices. However, these silicon-based are not suitable for several other applications. Bendable packaging and premium items are some of the application where embedded sensors do not work.
Cellnovo Group (Paris:CLNV), a medical technology company marketing the first mobile, connected, all-in-one diabetes management system, announces that it has been selected to participate in a project, funded by the European Commission's Horizon 2020 programme, aimed at investigating new technologies to help improve the lives of people with Type 1 diabetes. The project, named PEPPER (Patient Empowerment through Predictive Personalised decision support), has a budget of nearly EUR 4 million and brings together leading UK and European universities and companies to research and develop technology that will help to improve the self-management of people with Type 1 diabetes. Researchers working on the project will use Cellnovo's diabetes management system to create a personalised decision support system that will make predictions based on real-time data in order to empower individuals to self-manage their condition. The design of the system will involve patients, clinicians and carers at every stage to ensure that it meets user needs. Sophie Baratte, Chief Executive Officer of Cellnovo, commented: "We are delighted to be participating in PEPPER, which we believe is a strong endorsement of our proprietary technology.
As big data becomes more of cliche with every passing day, do you feel Internet of Things is the next marketing buzzword to grapple our lives. So what exactly is Internet of Thing (IoT) and why are we going to hear more about it in the coming days. Internet of thing (IoT) today denotes advanced connectivity of devices,systems and services that goes beyond machine to machine communications and covers a wide variety of domains and applications specifically in the manufacturing and power, oil and gas utilities. An application in IoT can be an automobile that has built in sensors to alert the driver when the tyre pressure is low. Built-in sensors on equipment's present in the power plant which transmit real time data and thereby enable to better transmission planning,load balancing.
Developer Steve Stroughton-Smith tweeted Sunday revealing that the HomePod firmware has confirmed a rumored iPhone 8 feature. The iPhone 8 is expected to feature an infra-red front camera with 3D face unlocking capability, according to the tweet. Stroughton-Smith further revealed that Apple will have a biometric kit for developers while another iOS developer Guilherme Rambo confirmed that the iPhone 8 will have an edge-to-edge display with a large screen-to-body ratio. All these revelations have been sourced by the developers from the firmware of the company smart speaker, the HomePod. Stroughton Smith had also revealed some HomePod features confirmed by the same firmware last week.
WASHINGTON, DC (March 8, 2017)--Interventional radiologists at the University of California at Los Angeles (UCLA) are using technology found in self-driving cars to power a machine learning application that helps guide patients' interventional radiology care, according to research presented today at the Society of Interventional Radiology's 2017 Annual Scientific Meeting. The researchers used cutting-edge artificial intelligence to create a "chatbot" interventional radiologist that can automatically communicate with referring clinicians and quickly provide evidence-based answers to frequently asked questions. This allows the referring physician to provide real-time information to the patient about the next phase of treatment, or basic information about an interventional radiology treatment. "We theorized that artificial intelligence could be used in a low-cost, automated way in interventional radiology as a way to improve patient care," said Edward W. Lee, M.D., Ph.D., assistant professor of radiology at UCLA's David Geffen School of Medicine and one of the authors of the study. "Because artificial intelligence has already begun transforming many industries, it has great potential to also transform health care."