AI may help reduce common drug side effects – ET HealthWorld


London: A team of researchers has developed a tool that uses natural language processing artificial intelligence Methodology and chemical structure analysis to quantify the harmful effects of MedicinesAccording to the study.

The new tool is designed to calculate which drugs experience adverse anticholinergic side effects, which affect the brain by blocking a key neurotransmitter called acetylcholine.

Professor Chris Fox said, “The use of drugs with anticholinergic effects can have significant harmful effects, for example, falls and confusion, which are avoidable. We need to urgently reduce harmful side effects because they can lead to hospitalization and death. can lead”, said Professor Chris Fox. University of Exeter In the UK.

“This new tool provides a promising path towards a more tailored personalized medicine approach to ensure that the right person receives safe and effective treatment while avoiding unwanted anticholinergic effects”, he added.

Anti-cholinergic side effects can occur with over-the-counter medications such as bladder medications, antidepressants, stomach medications, and Parkinson’s disease in the elderly.

Side effects include confusion, blurred vision, dizziness, falls, and decreased brain function. It can also increase the risk of dementia when used for a long time.

The tool assesses anticholinergic burden by assigning a score based on reported adverse events and closely aligned with the chemical structure of the drug being considered for prescription, resulting in a more accurate and up-to-date scoring system than any previous system. Journal Age and Aging.

Additionally, the team conducted a survey including 110 health professionals Pharmacist and prescribe nurses.

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

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“Our tool is the first to use innovative artificial intelligence technology to measure anticholinergic burden, ultimately, once more research is conducted this tool will help prescribe pharmacists and health professionals to find the best treatment for patients”, Dr. Sabar Sami said. University of East Anglia.

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