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      research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers

      October 2025 in “Frontiers in Artificial Intelligence”
      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.

      research Advancements in non-shaven techniques for long hair restoration

      June 2024 in “Journal of Dermatology & Cosmetology”
      This comparison study identified non-shaven FUT long hair (FUL) restoration as potentially offering more aesthetic benefits and fewer scars than FUE or conventional FUT for treating various types of alopecia.

      research HAIRFALL DUE TO AIR POLLUTION

      November 2021 in “International journal of biology, pharmacy and allied sciences”
      This study found that air pollution and dust particles are major contributors to hair fall among young adults living in urban areas.

      research Siddha treatment for hairfall

      January 2019
      This paper discusses the traditional use of Siddha medicines for hair growth and treating hair loss, claiming they effectively address hair fall, baldness, and dandruff without side effects, potentially due to lifestyle factors like diet and stress influencing hair health through imbalances in "pitha.

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