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I am PhD in soft matter. I want to implement new techniques for fast detection of Covid-19. I am looking for motivated partners. #MCAA
Novel cell-based IVD test to identify those Covid-19 patients at high risk morbimortality due to malfunction of the immune system and allow personalization of the treatment with immunomodulator drugs
Air borne viral particle density sampling unit using anti viral antibody coupled with Field-Effect Transistor.
A medical assistant, which diagnoses COVID-19 and predicts the evolution of each patient through the analysis of a chest X-Ray and 6 key factors of the clinic history
Implementing a preventive and personalized action protocol that will allow us to unravel the protective immunity against SARS-Cov-2 among the population: BREAKING WAVES COVID-19.
We use a microfluidic device as a platform to perform rapid and accurate COVID-19 detection
Chest CT scan image of a coronavirus infected patient showed distinctive hazy patch on outer edges of lungs. Using typical hazy patch as a feature pattern for training our AI based algorithm.
A rapid method to accelerate the detection of respiratory disease by automatic radiological analysis
An innovative BioSensor to detect the Sars-CoV-2 virus in air and on different surfaces
The open project for the development of the 30 EuroCents/piece biosensor for self diagnosis of CoViD-19. The test includes a DNAzyme mediated DNA amplification and a plasmonic signal detection.
Portable devices for Covid-19 self-testing at home/work are so close to become a reality, and we are here to lead the way using LAMP & 3D printing. We aim producing 1000 million Covid-19 tests a month
An Anonymous COVID-19 test using just coughs from our already collected Covid-19 Cough clinically validated database that can be implemented in smartphones, on-node or implantable sensors
Our idea is focused on creating a kit for detecting SARS.CoV.2 spike protein in biological samples (urines, blood et sim) by using a recombinant engineered/modified ACE2 protein.
A preliminary analysis of covid-19 is created based on:- 1.AI based dry cough recognition, 2. Body temperature using wearable or user input, 3. User risk group(age,travel history,health conditions).
Our idea aims to collect medical image data of COVID-19 patients, anonymously from several institutes and hospitals worldwide, and perform rapid, cheap and reliable tests using the existing equipment.
Develop an APP with artificial intelligence techniques, so that by analyzing the voice, via phone, Web, mobile, it can identify with high sensitivity and specificity patients infected with COVID-19.
Make a device which analyses irregularity in breath and respiratory symptoms of covid19. Combining this machine with temperature symptoms will better classify suspected people.
The goal of this project is to gather ressources and documentation to allow build of DIY medical devices that has been devellopped during the crisis (Syringe, respiratory, masks and Covid detector)
Using host mRNA profiling to rapidly diagnose COVID-19
Powering the Corona test with magnetism
A man gets up in the morning and wants to visit his mother just go to work - but there is a corona outside - no problem half-minute self-examination will allow anyone to continue life without fear
Test at home, share your result and flatten the curve
There is a realistic chance we can detect CoViD-19 from the voice, since several symptoms affect speech. While others collect sound data from the public, we take a rigid approach using clinical data.
Digital technology added to lateral serological antibody tests with integrated mobile app.
Using flourescent lateral flow assays to detect COVID-19, with results imaged by a smartphone microscope.