Study: AI Model Improves Hair Growth, Texture

An artificial intelligence (AI)-driven platform for customizing hair loss treatments significantly improved hair growth, scalp health, and hair texture in a 24-week study involving women with self-reported hair thinning.

The study authors enrolled 38 women, with 27 completing the trial. Participants received personalized, non-medicated product kits designed based on AI analysis of scalp images and self-reported questionnaires. Treatments in the study included topical serums, shampoos, oral supplements, and marine collagen peptides tailored to individual needs.

Use of the platform was associated with improvements in the primary study outcomes (increased hair growth, coverage, and thickness), and all primary outcome improvements attained statistical significance (P < 0.001). Hair shedding decreased by 32.4% (including a 37.3% reduction reported at 12 weeks). Scalp barrier function improved as well, with transepidermal water loss reduced by 61.5% at 12 weeks and 69% at 24 weeks. Scanning electron microscopy confirmed improvements in hair texture.

Patient-reported outcomes reinforced the study findings, with 88.9% of participants reporting overall hair improvement, 85.2% noting better scalp health, and 92.6% experiencing reduced brittleness (P < 0.001 for all measures). No adverse events were reported during the study.

"The AI-driven platform effectively delivered personalized hair loss treatments, suggesting a data-driven, customized, and accessible self-served alternative for hair loss management," the authors wrote.

Source: Bhardwaj V, et al. Journal of Drugs in Dermatology. 2025;24(3):233-238. Doi:10.36849/JDD.8611