August 2024 in “Cosmoderma” 3D-printed hair follicles could revolutionize hair loss treatments by providing unlimited hair grafts.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
3 citations
,
December 2018 in “Meta Gene” Certain gene variations increase male hair loss risk, influenced by hormone levels.
8 citations
,
January 2022 in “Sensors” Deep learning can accurately automate hair density measurement, with YOLOv4 performing best.
5 citations
,
July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
January 2026 in “International Journal of Science and Research (IJSR)” AI is now essential in Indian aesthetic medicine.
January 2025 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” Herbal hair conditioners nourish and protect hair naturally without harsh chemicals.
January 2024 in “Biomaterials Research” 3D-cultured cells in HGC-coated environments improve hair growth and skin integration.
7 citations
,
January 2015 in “Hair therapy & transplantation” Air pollution can cause hair loss, and using antioxidants, special shampoos, and coconut oil can improve scalp health and hair density.
9 citations
,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
4 citations
,
May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” AI can accurately diagnose hair and scalp conditions and suggest treatments.
98 citations
,
June 2001 in “Journal of biological chemistry/The Journal of biological chemistry” A cluster of sulfur-rich hair protein genes was found on chromosome 17.
March 2026 in “Journal of the American Academy of Dermatology” Hair diameter diversity could improve androgenetic alopecia assessment and treatment planning.
Robotic FUE hair transplants are better for men because they are precise, safe, and look natural.
The model accurately predicts hair loss severity in alopecia areata.
June 2025 in “Journal of Cosmetic Dermatology” AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
2 citations
,
March 2024 in “JAAD Case Reports” AI can help track and improve hair loss treatment outcomes.
1 citations
,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
26 citations
,
March 2014 in “International journal of pharmaceutics” Researchers created a skin treatment that could effectively deliver medication into hair follicles.
2 citations
,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
May 2026 in “DergiPark (Istanbul University)” The plant-based shampoo was successfully scaled up for industrial production while maintaining quality and safety.
5 citations
,
April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
6 citations
,
May 2025 in “Cosmetics” Sunscreen technology is improving with new ingredients and methods to better protect skin from sun damage.
January 2024 in “International Journal of Advanced Computer Science and Applications” Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
June 2026 in “International Journal of Drug Delivery Technology” The herbal hair oil is safe and may promote hair growth.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
December 2025 in “International Journal For Multidisciplinary Research” Microscopic hair analysis is important in forensics but has limitations; new technologies are improving its accuracy.
1 citations
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May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.