![]() |
| Klaus Gerwert, Stephanie Schörner and Frederik Großerüschkamp (from left) want to improve the diagnosis of colon cancer with the help of artificial intelligence. Photo Credit: © RUB, Marquard |
Artificial intelligence and infrared imaging automatically classify tumors and are faster than previous methods.
The immense progress in the area of therapy options over the past few years has significantly improved the chances of recovery for patients with colon cancer. However, these new approaches, such as immunotherapy, require a precise diagnosis so that they can be tailored to the respective person. Researchers at the Center for Protein Diagnostics PRODI at the Ruhr University Bochum use artificial intelligence in combination with infrared imaging to optimally coordinate the therapy of colon cancer with the individual patient. The label-free and automatable method can complement existing pathological analyzes. The team around Prof. Dr. Klaus Gerwert reports in the journal "European Journal of Cancer" on January 28, 2023.
Deep insights into human tissue within an hour
The PRODI team has been developing a new method of digital imaging for several years: The so-called label-free infrared (IR) imaging measures the genomic and proteomic composition of the tissue examined, i.e. provides molecular information based on the infrared spectra. This information is decoded using artificial intelligence and displayed as false color images. For this purpose, the researchers use image analysis methods from the field of deep learning.


.jpg)




.jpg)

