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.

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Wissenschaftlicher Mitarbeiter (m/w/d) 

 

Latest News

 

Our paper "GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks" has been published online first in Bioinformatics.

 

Our paper "The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices" has been published in JMIR Medical Informatics.

 

"Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients" has been published in npj Precision Oncology.

 

Our paper "AMBAR-interactive alteration annotations for molecular tumor boards" has been published in Computer Methods and Programs in Biomedicine.

 

"A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems" has been published in STAR Protocols.

 

Our paper "A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective" has been published in npj systems biology and applications.

 

"Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician" has been published in PLoS One.

 

"Self-Assessment of Having COVID-19 With the Corona Check Mhealth App" has been published in IEEE Journal of Biomedical and Health Informatics.


Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.