1 citations
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September 2025 in “Journal of Ultrasound in Medicine” AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
14 citations
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December 2019 in “Iraqi Journal of Science” Iraqi women with PCOS often have higher testosterone levels and obesity.
6 citations
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September 2025 in “Scientific Reports” Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
1 citations
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July 2010 in “TURKDERM” Psychological stress can affect skin health and disease progression.
April 2026 in “Scientific Reports” MSF-VMDNet accurately segments skin cancer images better than existing methods.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
November 2025 in “International Journal of Zoology and Applied Biosciences” New technologies like AI, robotics, and stem cells have made hair transplants more effective and natural-looking.
Pomegranate is beneficial in various medical fields.
Parry Romberg syndrome requires awareness and teamwork in primary care for proper diagnosis and management.
More research is needed to confirm the potential of various treatments, including Helichrysum plicatum, vitamins, bromelain, personalized medications, hydrogels, and bacteriophage therapy.
Vitamin D is crucial for skin health and managing skin diseases.
June 2018 in “Journal of Dermatological Science” UV radiation may cause DNA changes in skin, certain UVB therapy helps psoriasis, a new gene mutation is linked to mild piebaldism, different immune cells affect psoriasis, a drug promotes hair growth, and some cancer drugs could treat skin barrier issues.
January 2018 in “Turkiye Klinikleri Journal of Dermatology” Commonly used plants in hair products can guide future research and help professionals recommend treatments.
15 citations
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June 2023 in “Journal of Microbiology and Biotechnology” Loliolide from Scenedesmus deserticola may help with anti-aging.
6 citations
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March 1986 in “PubMed” Valproic acid can cause weight gain and hair texture changes.
1 citations
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November 2024 VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
29 citations
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May 2025 in “Polymers” DLP bioprinting shows promise for medical uses, but needs more material options and strength improvements.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
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.
4 citations
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October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
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 2026 in “Cosmetics” New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
April 2026 in “Diagnostics” Parry–Romberg Syndrome can involve the brain even without obvious symptoms, and a new diagnostic framework is suggested for early detection.
March 2026 in “Applied Sciences” AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
February 2026 in “Phycology” Microalgae can sustainably improve nutrition and cosmetics with their diverse beneficial compounds.
Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
Machine learning can accurately predict hair loss early, improving treatment options.