9 projects
Status
Domain
Organization Type
COVID-19 DIAGNOSTIC PROGRAM POWERED BY AI
The aim of the project is to create a prototype of an integrated tele-medical system supporting comprehensive clinical decisions in the field of novel COVID-19. The project scope also includes significant research activities focused on utilising a variety of available multidisciplinary clinical and imaging data to enable the proposed system to go beyond supporting detection and diagnosis that is already possible by the existing methods. The problem undertaken in the project is the limitations related to the early diagnosis of the COVID-19, collection of epidemiological and statistical data ...
CardioCube: COVID AI-driven conversational agent
CardioCube COVID enables virtual care for patients with coronavirus and quarantined individuals using AI-driven conversational agents deployed on smartphones and smart speakers. Automatic forward triage system allows to multiply healthcare provider's workforce increasing patients and providers safety thorough physical distancing. CardioCube COVID will include following modules: 1. Clinical Follow-Up - periodically, using mobile or voice interface, user answers a set of clinical questions to evaluate the health status at home. CardioCube red-flags patients/quarantined individuals at-r...
Digital Health Passport
With the lockdown exit, all public places must allow the safe reception of a large part of the population. To do this, it will be essential to detect symptomatic individuals, while respecting their rights and dignity, in order to protect them, but also protect others. We propose a Digital Health Passport (DHP), a mobile application, which is part of this process. The citizen will therefore have at hand a sesame which will allow him to integrate the public places of his choice. This DHP will contain information about his state of health, only that related to the Covid 19, namely the results ...
Xcope - Corona-Home-Control
The project is to develop an app that allows people to communicate with quarantined doctors. So you don't have to leave home if you have symptoms of a coronavirus and don't infect other people. We are building a stethoscope for the smartphone so that they can auscultate their lungs and also send it to their doctor. If we have enough data, we can also build machine learning or deep learning models to automatically detect when the coronavirus is causing pneumonia (then it becomes dangerous). This allowed people to be treated at home and only go to a hospital if the disease worsened.
Communication4Care
In a nutshell: Communication4Care (Com4Care) is a cloud-based communication platform to facilitate GDPR conform interoperability and link of relevant (sensor) data with structured patient-related information. No data files need to be exchanged and the platform provides a secure data storage and (real time or asynchronous) communication channel. Thus, improved standardized data acquisition, process monitoring, and data interpretation are possible. The patient can collect and report individual findings and outcomes (PROMs) and 'distribution of information' or sending of data files (electronic...
ARVIR
Arspectra's Augmented Reality glasses are modified in order to detect fever - the primary symptom of Covid19 infection - on distance. It enables the healthcare personnel organizing the overload of potential patients while staying at safe distances. It allows police forces, or airport security personnel to immediately detect a case of fever at airport, border, station, and public controls. These professionals are at the frontline fighting the spread of the epidemics, yet represent 30 % of the overall people getting infected. Providing detection on safe distance ARVIR reduces their ris...
Project SugarBuddy
We propose the creation of an automated real time monitoring service, for people with diabetes, that reacts in case of emergency and alerts the designated medical or social care teams via sms/e-mail allowing them to contact directly the patients via phone or video conference. As result of the covid-19 confinement measures and being one of the groups at risk, people suffering from diabetes (especially the elderly and people living alone) might become over isolated and prone to emergency situations due to the lack of support.
Identifying Predictors of Disease Progression and Tracking Viral Spread in COVID-19 Using Contin...
COVID-19 presents several unique challenges within cardiovascular care. While patients with preexisting CVD appear to be at an increased risk for severe disease and/or death, infection has also been shown to produce a number of CV sequelae, including cardiogenic shock and heart failure, in patients with no known CVD. Further complicating the management of cardiovascular care in COVID-19 are the adverse cardiovascular side effects produced by nearly all investigational therapies currently being tested, as well as, the unknown effects of standard care therapies used for the management of pree...
