You are here: Home

IGSB

flowcat color

FlowCat - Diagnosing leukemia with AI. Representation of flow cytometry data as seen by artificial intelligence. Each marker is coded in a different color. 

 

GPI anchor

GPI biosynthesis defects

a rare monogenic disorder

GPIBDs

slider_PEDIA_resized.jpg

PEDIA scoring approach

contact us if you need support

pedia-study

slider_DPDL

Translate NAMSE

software kick-off meeting

Button

Welcome to the IGSB

Welcome to the Institute for Genomic Statistics and Bioinformatics. We are convinced that precision medicine can only be achieved when human and artificial intelligence join efforts. Please have a look at our research and get in contact if you have any questions or would like to collaborate!

Sep 28, 2021

Researchers at the University of Bonn show how machine learning improves the evaluation of blood analysis data

The presence of cancer of the lymphatic system is often determined by analyzing samples from the blood or bone marrow. A team led by Prof. Dr. Peter Krawitz from the University of Bonn had already shown in 2020 that artificial intelligence can help with the diagnosis of such lymphomas and leukemias. The technology fully utilizes the potential of all measurement values and increases the speed as well as the objectivity of the analyses compared to established processes. The method has now been further developed so that even smaller laboratories can benefit from this freely accessible machine learning method - an important step towards clinical practice. The study has now been published in the journal "Patterns".

Document Actions