November 2025 in “SHILAP Revista de lepidopterología” Animal and mathematical models help understand and develop treatments for alopecia areata.
1 citations
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September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
2 citations
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March 2024 in “JAAD Case Reports” AI can help track and improve hair loss treatment outcomes.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
January 2026 in “Pattern Recognition” The new method improves accuracy in segmenting scalp tissue layers.
1 citations
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
5 citations
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May 2018 in “Statistics in Medicine” Model improves accuracy in predicting hair loss effects.
50 citations
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December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
GoogLeNet is the best model for identifying folliculitis.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
April 2024 in “Pharmacoepidemiology and drug safety (Print)” The algorithm accurately identified alopecia in women of childbearing age using claims data.
July 2025 in “Journal of Neonatal Surgery” The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
January 2024 in “Wiadomości Lekarskie” AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
58 citations
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October 2001 in “Dermatologic Clinics” Hair loss can indicate underlying systemic diseases and addressing these can sometimes reverse the hair loss.
1 citations
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February 2004 Skin diseases are common and can significantly affect people's lives; better outcome measures and ethical clinical trials are needed to improve dermatology care.
2 citations
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January 2012 Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
December 2023 in “Modern engineering and innovative technologies” January 2002 in “Europe PMC (PubMed Central)” The model successfully simulates human hair growth and patterns, including hair loss types.
1 citations
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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.
39 citations
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January 1994 in “European Journal of Cancer” Scalp cooling is largely ineffective in preventing hair loss from breast cancer chemotherapy.
30 citations
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June 2024 in “Scientific Reports” The hydrogel shows promise for wound healing due to its strong mechanical, antimicrobial, and antioxidant properties.
2 citations
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March 2024 in “Supportive Care in Cancer” Penguin Cold Caps help most patients keep at least half their hair during chemotherapy.
1 citations
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September 2017 C-scores can help predict gain-of-function and loss-of-function mutations.
January 1970 in “Bangladesh journal of plastic surgery” Robotic hair transplantation surgery is generally effective with high satisfaction rates and minimal complications.
May 2015 in “Journal of The American Academy of Dermatology” The algorithm can effectively diagnose different types of female hair loss with proper history, examination, and tests.
June 2024 in “World Journal of Management Science” Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.