(ANSA) - ROME, OCTOBER 26 - An artificial intelligence system has been developed which, by incorporating the tumor into a neural network, is capable of monitoring the metabolism and growth of cancer cells and, in a completely non-invasive way, the effects of chemotherapy.
The result, published in the journal Communications Physics, is due to researchers from Sapienza University of Rome, the Institute of Complex Systems of the National Research Council (Cnr) and the Catholic University of Rome.
"This is an original and innovative application of the new Deep Learning concepts to physics" notes the research coordinator, Claudio Conti of the Department of Physics of Sapienza and Director of the Institute of Complex Systems of the CNR.
The idea, he adds, "is that we can use these mathematical models not only to do simple operations such as image recognition, but also to perform very unconventional experiments, which exploit physics and biophysics with an interdisciplinary approach".
The group, in collaboration with Massimiliano Papi of the Catholic University of the Sacred Heart in Rome, has created a neural network, i.e. a network that mimics the functioning of neurons in the human brain, which incorporates tumor cells that grow and multiply over time.
It is a hybrid device, made up of living tissues and physical parts, such as lenses, mirrors and traditional computers, that evolves over time and can be trained to provide information on cancer cells, their metabolism and the effect of chemotherapy and other treatments.
(HANDLE).
