CoroNotes: New app supports medical studies on COVID-19
Scientists from the Tübingen Competence Center for Machine Learning and physicians from the University Hospital of Tübingen have developed an app that uses anonymous health data to contribute to a better understanding of the novel coronavirus.
Due to technical problems, the app is currently not available
Scientists at the Tübingen AI Center, a joint facility of the University of Tübingen and the Max Planck Institute for Intelligent Systems, have developed CoroNotes in cooperation with physicians at the University Hospital Tübingen. CoroNotes is an app that collects urgently needed data on COVID-19 quickly and efficiently. The aim of the project is to support medical and scientific studies on the novel coronavirus and thus gain important insights into the spread and progression of COVID-19. The free app is now available in GooglePlay and will soon also be released in the Apple App Store.
"With CoroNotes, we have created a platform that offers users the opportunity to anonymously participate in research efforts every day by answering a few questions about their health status and possible symptoms. Scientists can then use this data to draw conclusions about the course of diseases that could be related to COVID-19. In this way, all users can contribute to scientific research on this virus," said Bernhard Schölkopf, Director at the Max Planck Institute for Intelligent Systems and Co-Director of the Tübingen AI Center.
“We hope that the data collected will help us answer important questions, such as which treatments are most effective, how diagnoses can be made that are as reliable as possible, or how immunity to the virus can be demonstrated.”
A simple questionnaire, which app users fill out daily on their smartphone or tablet in less than a minute, provides important information about the COVID-19 pandemic. Users answer questions on whether they feel well, or whether they are experiencing symptoms like headaches, aching limbs, or a fever, for instance. Every day counts, even if a person feels healthy. The researchers hope to use the data to better identify early indicators of serious disease progression, or to target suitable people for medical studies, which promise to provide a particularly large amount of information on how to best deal with COVID-19. The data can also help identify epicenters of the pandemic at an earlier stage.
In the future, the platform will also be available to other researchers and physicians in order to test hypotheses in studies, for example, on the influence of certain drugs or the connection with pre-existing conditions. For this purpose, additional information can be requested if necessary and merged with the previously recorded health history. This interaction makes it possible to find answers to certain questions very quickly. "The COVID 19 pandemic is developing very dynamically. For science to develop solutions as quickly as possible, the availability of data is crucial," says Matthias Bethge, Professor of Computational Neuroscience and Machine Learning at the University of Tübingen and Co-Director of the Tübingen AI Center. Bethge specializes in the recognition of patterns and correlations from large amounts of data. "Each individual contribution counts. That’s why we hope that many people will download and use CoroNotes," said Bethge.
"It is particularly important to us that app users do not disclose any data they don’t want to disclose,” Bethge emphasized. CoroNotes meets the strict requirements of the German Data Protection Act (DSGVO). The app only collects data from users who actively decide to share certain information - data is not collected automatically. CoroNotes is not a tracking or tracing app, and does not record movement profiles or contacts with other people. In addition, users are given a randomly selected pseudonym when they register and are not required to provide their telephone number or email address. They thus remain anonymous and the app only collects the health data the users themselves have provided. Users can download or subsequently delete their own data at any time.
The scientists share this anonymous data with public health organizations, academic research institutions, or non-profit organizations based in Europe - again under the strict data protection guidelines of the DSGVO. The data may only be used for research and analysis projects directly related to COVID-19.
Further information about CoroNotes can be found at: https://coronotes.de
Researchers at the Tübingen AI Center are also involved in the European ELLIS (European Laboratory
for Learning and Intelligent Systems) network in the fight against COVID-19: https://ellis.eu/covid-19
About the Tübingen AI Center:
With the Cyber Valley initiative, the Tübingen AI Center is a joint project of the University of Tübingen and the Max Planck Institute for Intelligent Systems. The Competence Centre for Machine Learning, which is funded by the German Federal Ministry of Education and Research (BMBF) with a total of 14.7 million euros, investigates robust learning systems and contributes to society, in particular through educational initiatives such as the German Federal Competition for Artificial Intelligence ( https://bw-ki.de) and start-ups.
Researchers from the Tübingen AI Center have joined forces with other top European researchers to form the European Laboratory for Learning and Intelligent Systems, known as the ELLIS initiative ( https://ellis.eu). The network currently comprises 11 national fellowship programs and 17 regional research groups (ELLIS Units), which bring together leading scientists in the realm of learning AI. In recent years, these world-class researchers have significantly advanced developments in their respective fields. In the long term, ELLIS aims to draw on this network to establish a research institution that will attract and train young talents from all over the world to develop the AI of the future.
About Cyber Valley:
Cyber Valley is one of the largest research consortiums in Europe in the field of artificial intelligence, with partners from science, business, and society. Cyber Valley strengthens research and education in the fields of machine learning, computer vision and robotics, as well as connections between these scientific disciplines.
The research network was established at the end of 2016. Founding partners are the MPI-IS, the University of Stuttgart, the University of Tübingen, the State of Baden-Württemberg, and the following seven industrial partners: Amazon, the BMW Group, IAV GmbH, Daimler AG, Porsche AG, Robert Bosch GmbH and ZF Friedrichshafen AG. Together, these partners aim to strengthen the region by increasing research activities, creating an ecosystem for start-ups and technology transfer, and increasing the visibility of Baden-Württemberg as a global hotspot for AI research and development. Cyber Valley is also supported by the Christian Bürkert Foundation, the Gips-Schüle Foundation, the Vector Foundation and the Carl Zeiss Foundation.
As core elements of Cyber Valley, new research groups have been established at the Max Planck Institute for Intelligent Systems (MPI-IS), the University of Stuttgart, and the University of Tübingen. The Cyber Valley partners and supporting foundations fund these groups. Several professorships have also been established at the universities as additional core elements of Cyber Valley. Some of these new professorships are financed by endowments. The establishment of a new doctoral program was another key element of the project: the International Max Planck Research School for Intelligent Systems.
Press release of Max Planck Institute for Intelligent Systems Tübingen
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