Artificial intelligence algorithms of scientists from the Faculty of Electrical Engineering of CTU and the Faculty of Medicine of the University of Olomouc help to accelerate the development of anticancer drugs.
Artificial intelligence algorithms will play an increasing role in the search for effective cancer treatments. Machine learning methods can significantly reduce the time, effort and costs associated with the development of new drugs. Computer scientists from the Department of Cybernetics at the Faculty of Electrical Engineering of the Czech Technical University in Prague are collaborating with scientists from the Institute of Molecular and Translational Medicine (IMTM) at the Faculty of Medicine of Palacký University in Olomouc to discover them.
“We have managed to develop a procedure that is able to evaluate the effect of selected drugs on a culture of cancer cells from microscopic images using artificial intelligence tools. The probability of correct classification into one of the three groups in our method exceeds 98 percent, thus outperforming previous methods. This paves the way for much simpler high-throughput cell screening, which will contribute to faster development of new anticancer drugs,” says Prof. Jan Kybic, head of the Algorithms for Biomedical Imaging group at FEE CTU.
The full article is available on FEE CTU webpage.