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This study found that tryptophan fluorescence in natural white hair is significantly weaker than in other unpigmented keratin fibers, possibly due to greater environmental UV exposure or unknown chemical interactions.

This study evaluated a novel, user-friendly approach for detecting hairfall trends over time using machine learning models. The Temporal Fusion Transformer model demonstrated high accuracy in identifying anomalies in hair shedding patterns, potentially aiding in the early detection of health risks related to hormonal fluctuations.

Pharmacists play a key role in managing the use of anxiety medications and ensuring patients use them correctly.

This study developed and validated an HPLC method to quantify impurities in finasteride, demonstrating its suitability for quality assurance of the drug and its related substances.

This review discusses the biology, pathophysiology, and management of eyelash anomalies, highlighting the need for more research into eyelash mechanisms and care, and reports no new clinical results.