37 citations,
September 2018 in “Journal of the American Academy of Dermatology” Ruxolitinib can help regrow hair in severe alopecia areata.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
15 citations,
January 2023 in “Biomaterials Research” 3D bioprinting in plastic surgery could lead to personalized grafts and fewer complications.
62 citations,
December 2008 in “Journal of structural biology” Hair curvature in Japanese people is linked to specific cell types and filament arrangements in the hair cortex.
57 citations,
November 1987 in “Pediatric Dermatology” Children's hair grows in different types from before birth through puberty, with growth rates and characteristics varying by age, sex, and race.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
28 citations,
March 2019 in “Journal of Dermatological Science” The document concludes that while lab results for hair growth promotion are promising, human trials are needed and better testing methods should be developed.
147 citations,
September 2001 in “Computer graphics forum” The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
3 citations,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
161 citations,
July 2003 in “ACM Transactions on Graphics” Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
34 citations,
January 2020 in “IEEE Access” A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
16 citations,
January 2017 in “Physical chemistry chemical physics/PCCP. Physical chemistry chemical physics” The 3D structure of a key hair protein was modeled, revealing specific helical structures and stabilization features.
33 citations,
August 2015 in “F1000Research” New model shows muscle affects hair loss differently in men and women.
The model accurately classifies hair conditions with 97% accuracy.
1 citations,
December 2022 in “Pharmaceuticals” Noni fruit extract, specifically the FEA-3 sub-fraction, can increase hair growth and reduce baldness in male rabbits, potentially acting like common hair loss treatments.
7 citations,
September 2014 in “European Journal of Dermatology” Thicker hair grows faster; hair loss patients have slower growth.
34 citations,
December 1991 in “Annals of the New York Academy of Sciences” The conclusion is that small hair follicles cause baldness in macaques, and treatments like antiandrogens and minoxidil can prevent hair loss and promote regrowth.
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
1 citations,
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Melanocyte-associated antigens may play a key role in alopecia areata and could be targets for new treatments.
36 citations,
October 1996 in “Dermatologic Clinics” Mice are useful for researching human hair loss and testing treatments, despite some differences between species.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
5 citations,
January 2018 in “Interdisciplinary sciences: computational life sciences” Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.
34 citations,
July 2010 in “Expert Opinion on Drug Delivery” The document concludes that there is no agreed-upon best method for measuring drug delivery within hair follicles and more research is needed to validate current techniques.
March 2023 in “Applied and Computational Engineering” Deep learning models can analyze scalp diseases effectively.
1 citations,
December 2020 in “Journal of Chemical and Petroleum Engineering” The Gas-Antisolvent process can be effectively modeled and optimized to create Finasteride, a hair growth drug.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
Cialis and Finasteride could be repurposed to treat aggressive melanoma.