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This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.

This study used R-language data mining to analyze patents of topical Chinese medicine for hair loss, identifying key medication patterns and ingredients in traditional formulations.

In this analysis, Professor Ma Shuanquan attributes androgenetic alopecia to liver, spleen, and kidney dysfunctions and describes a treatment approach using Chinese medicines focused on these organs, suggesting individualization and noting significant therapeutic effects.

This review systematically evaluates Erzhi Pill's formulation, therapeutic potential, and challenges, exploring its traditional applications and modern prospects for developing integrated quality control and precise medical strategies.

This review article found that fire needle acupuncture has shown promise in treating alopecia areata by acting directly on skin lesions and regulating Qi and blood, aiming to offer diagnostic and treatment insights for managing the condition.