Medical Systems Biology
CTest
an online system to track test results
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 first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.
Our paper "Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images" has been published in Frontiers in Artificial Intelligence.
- "The HLA ligandome of oropharyngeal squamous cell carcinomas reveals shared tumour-exclusive peptides for semi-personalised vaccination" has been published online first in the British Journal of Cancer.
"Vaccine Side Effects in Health Care Workers after Vaccination against SARS-CoV-2: Data from TüSeRe:exact Study" has been published in Viruses-Basel.
"PREDICT-juvenile-stroke: PRospective evaluation of a prediction score determining individual clinical outcome three months after ischemic stroke in young adults – a study protocol" has been published in BMC Neurology.
Our paper "Federated Electronic Data Capture (fEDC): Architecture and Prototype" has been accepted for publiaction in the Journal of Biomedical Informatics.
Our paper "Efficient cross-valdation traversals in feature subset selection" has been published in Scientific Reports.
Our paper "CANTATA - prediction of missing links in Boolean networks using genetic programming" has been published in Bioinformatics.
Our paper "Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives" has been published in the Journal of Medical Internet Research mhealth and uhealth.
Our paper "Identification of dynamic driver sets controlling phenotypical landscapes" has been published in the Computational and Structural Biotechnology Journal.
Congratulations to Dr. Silke Werle for winning the 1st Prize with her pitch at the 1. Science Day held by ProTrainU.
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.