Supporting Machine Learning Model in the Treatment of Chronic Pain.

ABSTRACT: Conventional therapy options for chronic pain are still insufficient and patients most frequently request alternative medical treatments, such as medical cannabis. Although clinical evidence supports the use of cannabis for pain, very little is known about the efficacy, dosage, administration methods, or side effects of widely used and accessible cannabis products. A possible solution could be given by pharmacogenetics, with the identification of several polymorphic genes that may play a role in the pharmacodynamics and pharmacokinetics of cannabis. Based on these findings, data from patients treated with cannabis and genotyped for several candidate polymorphic genes (single-nucleotide polymorphism: SNP) were collected, integrated, and analyzed through a machine learning (ML) model to demo

SUBMITTER: Visibelli A 

PROVIDER: S-EPMC10376077 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature