TLDR Numerical methods help analyze alopecia drugs' properties effectively.
This document discusses the use of numerical descriptors, specifically CoM-polynomial and degree-based topological coindices, to analyze the physicochemical properties of drugs used in the treatment of alopecia, a condition affecting one million people in India. The study focuses on medications such as Minoxidil, Finasteride, Dutasteride, Biotin, Triamcinolone, Spironolactone, Ritlecitinib, Baricitinib, Dithranol, and Sulfasalazine. These numerical methods are particularly useful in resource-limited settings, aiding in the comprehensive investigation of these drugs' properties.
117 citations
,
March 2013 in “Journal of the European Academy of Dermatology and Venereology” No effective treatment for frontal fibrosing alopecia was found, but oral 5-alpha-reductase inhibitors had the best response; for lichen planopilaris, topical corticosteroids were commonly used but had a high relapse rate.
45 citations
,
August 2019 in “Dermatologic Therapy” Hair loss treatments work better with lifestyle changes.
47 citations
,
December 2020 in “Journal of the European Academy of Dermatology and Venereology” The document concludes that understanding and treating hair loss requires recognizing its various types and using appropriate diagnostic tools and treatments.
August 2023 in “Journal of Dermatological Treatment” Mesotherapy might improve hair growth, but more research is needed to confirm its safety and effectiveness.
July 2018 in “Elsevier eBooks” New hair loss treatments show promise, but more research is needed to confirm their effectiveness.
1 citations
,
May 2017 in “InTech eBooks” Some cosmetic procedures show promise for treating hair loss, but more research is needed to confirm their safety and effectiveness.