Finding Potential Pathways of Atopic Dermatitis for Drug Targetingby Visualizing Gene Expression Over Time

Current methods for targeting the skin condition atopicdermatitis are inconvenient due to high costs andinconsistency, complicating their use in clinical practice.The aim of this study is to develop a machine learningmodel that utilizes microRNAs as biomarkers to improvethe precision of targeting genes involved in atopicdermatitis treatment. To achieve this, the study employeda range of online databases, machine learning tools, anddata processing tools, including NCBI, miRBase, miRDB,and Weka to organize and analyze relevant data.