Remote Patient Monitoring Solutions
Remote Patient Monitoring Solutions Remote Patient Monitoring (RPM) is a continuous or non-continuous monitoring process that allows a healthcare professional to remotely interpret the data
Remote Patient Monitoring Solutions Remote Patient Monitoring (RPM) is a continuous or non-continuous monitoring process that allows a healthcare professional to remotely interpret the data
There are many questions and doubts about the role and position of artificial intelligence in the healthcare industry. What is the current status? What is the next step?
The joint research with University of Pécs examining the prediction of migraine attacks with natural language conversation engine XANTA, developed by the E-Group.
The James Webb Space Telescope sends pictures showing how our galaxy looked billions of years ago. However, space technology always anticipates the future of technology used in industry.
The post-quantum encryption legislation has come into effect in Hungary and also NIST made public its decision on which of the “quantum-safe” algorithms will be used in the development of the post-quantum encryption standard.
One of the most dynamically developing areas of data collection and processing is the analysis of data from various IoT devices. Around 29 billion connected devices are forecast by 2022, of which around 18 billion will be related to IoT.
The most important Hungarian e-government sites login interface, the KAÜ (central administrative identification agent), better known as the Client Gate, can from the 3rd of June be accessed with the simplest two-factor user authentication solution developed by E-Group.
The encryption procedures currently in place become easily cracked with the advent of high-performance quantum computers, which most experts say will happen in no more than 10 years, or even much earlier.
E-Groups Research Developer, Veronika Vraukó presents a drug repositioning workflow at the conference for doctor students and young researchers.
Data quality enhancement is really important for use of wearable devices for machine learning. Our colleague, Balázs Molnár is invited to a conference to present his latest research on this field.