1 citations
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October 2014 in “Journal of aesthetic nursing” Laser hair removal by trained professionals is the most effective long-term method for reducing facial hair in women.
2 citations
,
September 2023 in “JMIR. Journal of medical internet research/Journal of medical internet research” Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
A machine-learning test using hair can help detect autism early in infants.
January 2025 in “RSC Pharmaceutics” Smart microneedles using advanced tech could improve psoriasis treatment.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
5 citations
,
April 2016 in “Proceedings of the Latvian Academy of Sciences. Section B, Natural, Exact and Applied Sciences” Researchers created small amber particles for use in bioactive and biocompatible fibers that could help with skin and hair restoration and are safe for infant clothing.
3 citations
,
May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
5 citations
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January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
Machine learning can accurately predict hair loss early, improving treatment options.
2 citations
,
September 2024 in “Journal of intelligent medicine.” Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.
1 citations
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June 2025 in “Frontiers in Genetics” Key genes IRF2BP2 and EGFR are linked to Hetian sheep's double-coat fleece.
October 2023 in “Biomedical science and engineering” Innovative methods are reducing animal testing and improving biomedical research.
A hat with sensors can measure scalp moisture well, helping with hair care.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
15 citations
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August 2020 in “Indonesian Journal of Electrical Engineering and Computer Science” The system can automatically classify scalp conditions with 85% accuracy.
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
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.
January 2026 in “Microsystems & Nanoengineering” New technologies replicate human skin for testing without animals.
December 2025 in “Pharmaceutics” Personalized skin rejuvenation using genomics shows promise but needs more research.
December 2024 in “International Journal of experimental research and review” Adding obesity data to machine learning models improves heart disease prediction accuracy.
20 citations
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March 2020 in “International Journal of Biological Macromolecules” Lower acetylation makes chitin nanofibers thinner and more suitable for various uses.
115 citations
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January 2014 in “Journal of Cutaneous and Aesthetic Surgery” Platelet-rich plasma (PRP) is a cheap and easy treatment for hair loss, but not suitable for everyone. It also helps in healing ulcers, rejuvenating skin, and improving hair transplants.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
January 2026 in “Eng—Advances in Engineering” Berry extracts improve fabric strength and flexibility, making it suitable for medical and cosmetic uses.
March 2026 in “International Journal of Science Strategic Management and Technology” WomenCare helps predict PCOD risk in women to encourage early medical consultation.
January 2026 in “Supportive Care in Cancer” New cooling caps can help prevent hair loss from chemotherapy in a cost-effective and eco-friendly way.
112 citations
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November 2023 in “Nano-Micro Letters” Nanozymes show promise for effective and safe cancer treatment.