Jerusalem, 2 April (IANS). Israeli researchers have developed SCNET – an AI device that analyzes how cells behave in a changing biological environment and what their response to drugs is.
According to the Xinhua news agency report, Tel Aviv University team stated that unlike the current sequencing techniques, SCNET connects the hidden biological pattern from single-cell gene data to the gene interaction network.
SCNET reported that it found in tests focused on important immune T cells to fight cancer that the treatment of cancer increased the ability of the tumor killing cells that was not possible due to complex data earlier.
Ron Sheenin, a doctoral student at the university, said, “SCNET integrates single cell sequening data with a network that describes potential gene interactions, a lot of a social network, provides this map how different genes can affect and interact with each other.”
Sheenin further stated, “SCNET enables more accurate identification of the existing cell population in the sample. Thus, it is possible to examine the general behavior of the genes in different circumstances and highlight the complex mechanisms that reflect a healthy state or reaction to the reaction.”
In the study, the team focused on the population of T cells.
In the paper published in the Nature Journal, the researchers said, “SCNET revealed the effects of treatment on these T cells and explained how they became more active in their cytotoxic activity against the tumor, something that was not possible to find out first due to high level noise in the original data.”
This tool can accelerate drug development and improve the understanding of the disease. Researchers highlighted how AI devices such as SCNET can help decod complex cell behavior and design target therapy.
Researchers said, “It is an excellent example of how artificial intelligence equipment can help understand biological and medical data, which helps us get new and important information.”
-IANS
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