Medical Systems Biology

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CTest

an online system to track test results

ctest

This is an online tracking system for clinical sample tests. CTest provides a browser-based online status update for testees using personalized QR-codes (and web links). CTest does not require installation of any apps or logins for users. Instead, CTest uses cryptographically secure tracking IDs and does not use any personal data.
The primary aim of this approach was to reduce the burden of clinical staff in the COVID-19 crisis and to allow efficient and almost instantaneous communication of the results to testees. Speedy communication is of the essence in the current crisis, as it virus carriers can be infectious before first symptoms arise.

The software is available at

https://github.com/sysbio-bioinf/CTest

A preprint is available at

https://www.medrxiv.org/content/10.1101/2020.04.07.20056887v1

We implemented a special extension for Tübingen in version 0.3.1.

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.