Medical Systems Biology

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COVID-19 Software

CTest

A secure and rapid query-software for COVID-19 test results that can easily be integrated into the clinical workflow to avoid communication overload

IgTest

A modified version of CTest: A secure and rapid query-software for COVID-19 Ig results that can easily be integrated into the clinical workflow.

SARS-CoV2-Monitor

Shiny data analysis visualizing Covid-19 infection data. Illustrates cases/deaths per country, growth rate, etc. Data is obtained from Johns Hopkins University’s CSEGIS data repository.

Bed capacity dashboard

Interactive web dashboard to show realtime changes of bed capacites. Based on wekan (https://wekan.github.io/), extended with functionality for printing, exporting and automatic calculation of bed capacities.

Corona Check App

Anonymous Corona self-assessment, tips and news. You can perform Corona Check for yourself or your relatives for early detection of COVID-19. The criteria for this are based on the specifications of the Robert Koch Institute and are updated regularly. You can use this app again at any time.

CoCoV

A mobile application to track adverse events after COVID-19 vaccination.

Latest News

 

Our paper "Reconstructing Boolean network ensembles from single-cell data for unraveling dynamics in the aging of human hematopoietic stem cells" has been published in the Computational and Structural Biotechnology Journal.

 

The position paper "Is there a role for statistics in artificial intelligence" has been published online first in Advances in Data Analysis and Classification.

 

Our paper "Corona Health - A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic" has been published in the International Journal of Environmental Research and Public Health.

 

Our paper "Patient empowerment during the COVID-19 pandemic: Ensuring safe and fast communication of test results" has been published in the Journal of Medical Internet Research.

 

Our paper "Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment" has been published in IEEE Access.

  

Our report protocol "Digitalization of adverse event management in oncology to improve treatment outcome—A prospective study protocol" has been published in PLoS One.

 

We are happy we could contribute to Beutel et al (2021) "A prospective Feasibility Trial to Challenge Patient-Derived Pancreatic Cancer Organoids in Predicting Treatment Response" published in MDPI Cancers.