TLDR The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
The document presents the first computational model of male baldness, simulating hair loss based on the Hamilton-Norwood classification. This model uses a 3D head model and its corresponding texture to simulate hair dynamics over time, changing the texture according to a level of baldness using heat diffusion. The results were assessed by a dermatologist specializing in hair transplants, who found them plausible and valuable for clinical use. This method could be beneficial for medical research, clinical use, and entertainment. The focus of the study is on white males, with other ethnicities and females left for future work.
153 citations
,
March 2017 in “Endocrine” Male pattern baldness involves genetics, hormones, and needs better treatments.
133 citations
,
February 2017 in “PLoS Genetics” Genetic factors can help predict male pattern baldness risk.
14 citations
,
May 2014 in “Archives of plastic surgery” The position of the parietal whorl can predict safe donor areas for hair transplants in Korean men with male pattern baldness.
100 citations
,
April 2010 in “Expert Opinion on Pharmacotherapy” Hair loss in men treated best with early medication or transplant, new treatments researched.
193 citations
,
August 2005 in “Journal of Investigative Dermatology Symposium Proceedings” Hair loss common in Australia; men affected earlier, more often than Asians; women less concerned.
191 citations
,
December 2003 in “Journal of Investigative Dermatology”
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
