research A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
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research FORMULATION AND EVALUATION OF HERBAL HAIR SERUM FOR ANTIMICROBIAL ACTIVITY AND HAIR GROWTH PROMOTION
The herbal hair serum effectively fights microbes and promotes hair growth.
research FORMULATION AND EVALUATION OF HERBAL HAIR SERUM FOR ANTIMICROBIAL ACTIVITY AND HAIR GROWTH PROMOTION
The herbal hair serum effectively promotes hair growth and fights microbes.
research Pathogenesis, diagnosis and pharmacotherapy of dermatophytosis in cats
Dermatophytosis in cats is treated with antifungal medications.
research Management of Indralupta with Prachana and External Applications - A Case Report
Ayurvedic treatment with Prachana and external applications effectively promoted hair regrowth in alopecia areata.
research A Clinico-Epidemiological Study on Hair Disorders in Patients in a Tertiary Care Centre, Chennai
Androgenetic alopecia is the most common hair disorder, affecting more males, while telogen effluvium is more common in females, with stress and nutrition as key factors.
research Sacituzumab tirumotecan (sac-TMT/MK-2870/SKB264): a novel antibody–drug conjugate in breast cancer
Sacituzumab tirumotecan shows promise in treating breast cancer with manageable side effects.
research (PNM-35) Recurrent priapism in a sickle cell disease patient treated with gonadotropin-releasing hormone (GnRH) agonists drugs: a case report
GnRH agonists can help manage recurrent priapism in sickle cell patients, but long-term safety is unclear.
research Interest of an anti-hair loss serum containing Silybum marianum extract, manganese pyrrolidone carboxylic acid (PCA), and a Lespedeza capitata extract in the management of post-cancer treatment alopecia: an international real-world study
The serum effectively improves hair growth and is well-tolerated for post-cancer hair loss.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.