May 2026 in “International Journal of Scientific Research in Science and Technology” This study found that a combined machine learning model outperformed individual networks in diagnosing scalp conditions using visual data, enhancing prediction accuracy and early detection, particularly in settings with limited resources.
October 2025 in “JPRAS Open” Many are open to telemedicine for hair loss if combined with in-person visits and better technology.
August 2024 in “Journal of Controlled Release” In a study using an AGA mouse model, researchers observed that a novel topical gel combining hybrid extracellular vesicles, gold nanoparticles, and finasteride accelerated hair regrowth and improved hair quality more effectively than conventional minoxidil treatment, presenting a promising option with fewer side effects.
This study documented that a CNN-KNN hybrid model achieved 98% accuracy in predicting hair breakage levels due to Telogen Effluvium, highlighting its potential for enhancing diagnosis and treatment in clinical dermatology through early detection of hair-related conditions.
January 2020 in “eScholarship (California Digital Library)” This study used multi-scale hybrid models to explore how signaling factors affect skin wound healing and embryo development, suggesting that different levels of fibrin clot density influence scar formation.
