February 2022 in “arXiv (Cornell University)” A new method accurately captures and renders hair color for real and synthetic images.
17 citations
,
July 2024 in “Advanced Intelligent Systems” Human-robot interaction becomes simpler as robots achieve full autonomy in surgery.
12 citations
,
November 2023 in “Medicine” AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
5 citations
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June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
1 citations
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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.
17 citations
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May 2025 in “MedComm” Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
5 citations
,
January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.
3 citations
,
September 2024 in “International Journal of Molecular Sciences” Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
3 citations
,
October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
1 citations
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March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
January 2024 in “Applied Mathematics and Nonlinear Sciences” The model helps understand alopecia areata and suggests better treatment strategies.
September 2023 in “Reports of Vinnytsia National Medical University” The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
March 2017 in “Fundamental & Clinical Pharmacology” The model and estimator can predict drug exposure in kidney transplant patients well.
24 citations
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December 2009 in “Future Medicinal Chemistry” Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
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.
October 2025 in “JPRAS Open” Many are open to telemedicine for hair loss if combined with in-person visits and better technology.
February 2025 in “PubMed” AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
August 2020 in “Textile research journal” The model helps understand how wool fiber structure affects its strength and flexibility.
16 citations
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June 2025 in “Journal of Composites Science” Chitosan–hydroxyapatite biocomposites are promising for tissue engineering due to their safety and ability to support healing.
2 citations
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April 2023 in “Polymers” The study created 3D-printed pills that effectively release a hair loss treatment drug over 24 hours.
January 2026 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
91 citations
,
December 2006 in “Proceedings of the National Academy of Sciences” Hair patterns in mice are controlled by both a global system dependent on Fz6 and a local self-organizing system.
May 2026 in “The EMBO Journal” Feather follicles form through specific cellular flows and mechanical changes in the skin.
August 2023 in “Micromachines” The new method can create hair follicle-like structures but not complete hair with roots and shafts, needing more improvement.
Plucked hair follicles grow faster than conventional ones, making them a potentially better option for hair transplants.
20 citations
,
November 2019 in “Current Opinion in Systems Biology” The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
15 citations
,
February 2003 in “British Journal of Dermatology” The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
30 citations
,
August 2016 in “Advances in radiation oncology” Researchers developed a mouse model that successfully mimics the bladder damage seen in humans after radiation therapy.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.