Artificial Intelligence: May help reduce common drug side effects

Antidepressants, stomach medications, bladder medications, and medications for Parkinson's disease in older people can all have anticholinergic side effects.

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Artificial intelligence Brain
Picture: Pixabay

Last Updated on January 6, 2024 by The Health Master

According to the study, a team of researchers has developed a tool that uses natural language processing, an artificial intelligence (AI) methodology, and chemical structure analysis to measure the harmful effects of medicines.

The new tool is designed to calculate which medicines are more likely to experience adverse anticholinergic side effects, which impact the brain by blocking a key neurotransmitter called acetylcholine.

According to Chris Fox, a professor at the University of Exeter in the UK, “Use of medicines with anticholinergic effects can have significant harmful effects, for example, falls and confusion, which is avoidable.” We urgently need to reduce the harmful side effects as this can lead to hospitalization and death. “

He continued, “This new tool offers a promising avenue towards a more tailored personalized medicine approach, of ensuring that the right person gets a safe and effective treatment while avoiding unwanted anticholinergic effects.”

Antidepressants, stomach medications, bladder medications, and medications for Parkinson’s disease in older people can all have anticholinergic side effects.

Confusion, blurred vision, lightheadedness, falls, and a decline in brain function are some of the side effects. It may also increase the risk of dementia when used long-term.

The tool assesses anticholinergic burden by assigning a score based on reported adverse events and aligning closely with the chemical structure of the drug being considered for prescription, resulting in a more accurate and latest scoring system than any previous system, according to the research published in the journal Age and Ageing.

Further, the team surveyed 110 health professionals, including pharmacists and prescribing nurses.

Of this group, 85 percent said they would use a tool to assess the risk of anticholinergic side effects if one were available. The team also gathered usability feedback to help improve the tool further.

According to Dr. Saber Sami of the University of East Anglia, “Our tool is the first to use cutting-edge artificial intelligence technology in measures of anticholinergic burden, and ultimately, once more research has been conducted, the tool should support pharmacists and prescribing health professionals in finding the best treatment for patients.”

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