5 projects

An integrative network-based drug repurposing approach for COVID-19

We aim at analyzing the publicly available transcriptomics data generated by exposing human lung epithelial cells to SARS-CoV particles and measuring the differences in the gene expression. We will use a molecular network analysis approach to identify a set of key genes, that represent key regulators in the SARS-CoV gene expression signature. This signature will be filtered to distinguish pathological from protective responses and used to identify drugs that could potentially reverse pathological features of the disease phenotype based on the anti-correlation of known drug-response gene exp...

Understanding Immunity in COVID-19

Previously developed model of immune response [Abulikemu et al 2020] will be modified in the collaboration with model authors and used for understanding processes involved in SARS-CoV2. We will develop a systems immunology tool that stratifies the coronavirus patient population according to (i) their likelihood of developing the cytokine tornado and (ii) the tornado subtype they are subject to. It will insert individual patient information into our Abulikemu et al model [2020] and compute the implications for whether or not a flip from moderate ('acute') inflammation to a 'cytokine tornado...

AICovIX - AI based diagnosis of Covid-19 from CT/X-Ray imaging

The gold standard for Covid-19 diagnosis is RT-PCR for SARS-CoV-2 from the upper airways. This method suffers from decreased accuracy in more severe disease stages affecting the lower airways. False negative PCR tests in severe cases impose a massive risk to the health system, promoting intra-hospital disease spread in the actual pandemic situation. Reports from China indicate false negative PCR from upper airway samples in severe Covid-19 pneumonia in more than 50% of the cases. Therefore, complementary tests for the detection of these dangerous cases are urgently needed. The value of che...

Phylodynamic real-time monitoring of SARS-CoV-2 genomes

The current Covid-19 pandemic caused by the SARS-CoV-2 visus is an extreme world wide challenge to mankind's health. Current approaches to manage this challenge rely on reliable testing as well as the development of vaccination which both depend on the stability of specific sequences of the viral genome. Sequencing of viral genomes from patient samples provides deep insights on pathogen dynamics in terms of phylogeny and evolution allowing for spreading analysis and adaptation of molecular diagnostic and prevention strategies. Hence, the automatic dynamic analysis of data derived from v...

Controling the symptoms

Since the information about the COVID-19 pandemic isn't that much available. The easiest and fastest way to mitigate the virus is by controlling the symptoms.

export results as excel

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