Predicting The Impact Of Genetic Mutations On Public Health Is Implemented By Kisr

Kuwait Institute for Scientific Research has completed a research project entitled 'Using Artificial Intelligence to Model the Effect of Genetic Mutations on Public Health'.

An Arabic daily reported that researchers used artificial intelligence to predict how single genetic mutations would affect the growth of organisms, which are known for having a small number of genes and the ability to manipulate and disrupt them in the laboratory. The researchers applied this model to predict the impact of single genetic mutations on the health of multiple organisms, including humans and fruit flies, following its initial success.

Among the most important outputs of the project are the reduction in the cost of genetic studies, the discovery of new genetic targets for diagnosing patients, and the development of drugs to treat some genetic diseases. The modeling developed by researchers enables them to predict, in particular, the effects of multiple cumulative mutations that affect multiple genes at the same time, as this modeling can predict whether these accumulated mutations will aggravate the disease condition or mitigate its pathological severity. Until the point of complete recovery.

A scientist from the Environment and Life Sciences Research Center, Badr Al-Enezi, specialized in cell and genetics, led the research; Dr. Khaja, of the Department of Systems and Software Development, is a researcher in computer science and artificial intelligence. From the Center for Bioengineering Environmental and Life Sciences Research, Saja Fakhreddin specializes in bioengineering.

In the international journal Biopharmaceutical published by the University of Oxford in the United Kingdom, this research was supported by the UN Global Center for Genetic Engineering and Biosciences.

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