Artificial intelligence can be used to study gut microbes in patients, a new study has revealed.
The new study proposed that artificial intelligence tools, such as machine learning algorithms, have the potential for building predictive models for the diagnosis and treatment of diseases linked to imbalances in gut microbial communities, or microbiota.
The study focused mainly on patients with cancer, who often undergo treatments that can cause profound alterations in the gut microbiota and potentially contribute to the development of complications.
Because research on the human microbiome is an emerging science and the application of artificial intelligence in medicine is in its infancy, it is important to consider ethical, legal, and social issues simultaneously with technical refinements required for applying these technologies to the clinic.
"Artificial intelligence algorithms have the potential to change the everyday medical practices and offer the prospect of identifying new associations not yet detected by humans, which will be very useful for better understanding the complexity of the human microbiota," said author Dr. J. Luis Espinoza.
The findings from the study are published in the Journal of Internal Medicine.
(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)
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