2 citations
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March 2024 in “JAAD Case Reports” AI can help track and improve hair loss treatment outcomes.
2 citations
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April 2023 in “Cutis” More inclusive research is needed to effectively treat frontal fibrosing alopecia in Black patients.
2 citations
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July 2021 in “Annales De Dermatologie Et De Venereologie” Vulvar acne, also known as "vulvar Fordyce adenitis", is a condition causing painful bumps on the labia, and it's not always effectively treated with common acne medications, but isotretinoin has shown promise.
2 citations
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January 2020 in “International Journal of Cosmetic Science” Niacinamide does not promote hair growth.
March 2026 in “Dermatology Reports” FFA has higher long-term remission rates than LPP.
February 2026 in “Reports — Medical Cases Images and Videos” Upadacitinib may help regrow hair in children with alopecia areata and is generally safe.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
February 2026 in “Journal of the American Academy of Dermatology” Managing skin diseases during pregnancy and postpartum requires careful consideration of treatment safety and dosing to protect both mother and baby.
January 2026 in “China CDC Weekly” The study explored the use of large language models (LLMs) for automated identification of monkeypox (mpox) from electronic medical records (EMRs) in Shenzhen, China, involving 239 individuals (126 mpox cases and 113 controls). The DeepSeek-R1-14B model was used to extract clinical features from free-text data, outperforming traditional methods and achieving high accuracy (96.1%) in identifying symptoms like fever and rash. Logistic regression based on these features showed the best performance with an AUROC of 0.927 and accuracy of 87.5%. The study concludes that LLM-based extraction of clinical features from EMRs is a promising approach for early mpox case identification, supporting intelligent surveillance and early warning systems.
November 2025 in “Journal of the European Academy of Dermatology and Venereology” JAK inhibitors may reduce depression in people with alopecia areata.
November 2025 in “Current Cosmetic Science” Rosemary may help prevent hair loss and promote hair growth, but more research is needed.
The model accurately predicts hair loss severity in alopecia areata.
August 2025 in “BMC Pharmacology and Toxicology” The LTF gene may help predict and manage nonspecific orbital inflammation.
June 2025 in “British Journal of Dermatology” JAK inhibitors help regrow hair in alopecia areata, but their long-term safety is still unclear.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
AI can personalize exercise routines to improve skin health.
April 2025 in “Journal of Diabetes & Metabolic Disorders” Monitoring TGF-β and linc-PINT expression may help identify and treat high-risk heart arrhythmia patients.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
The model accurately identifies hair diseases using deep learning.
September 2024 in “Journal of the American Academy of Dermatology” Smoking can cause and worsen male pattern hair loss.
February 2024 in “Journal of Education, Health and Sport” Exosomes can help repair and heal tissues, improving health and vitality.
September 2023 in “International Journal of Trichology” Early treatment of Folliculitis Decalvans in children can improve inflammation and partially regrow hair.
September 2023 in “Journal of the American Academy of Dermatology” Oral Janus kinase inhibitors are effective for treating alopecia areata in adults.
August 2023 in “Dermatologic Surgery” Botulinum toxin might help with some scalp conditions, but more research is needed to confirm its effectiveness and safety.
November 2018 in “Springer eBooks” Children need early diagnosis and treatment for iron-deficiency anemia to prevent learning problems and promote health.
April 2018 in “Journal of Ayurvedic and herbal medicine” Computational methods can speed up and improve the development and safety of herbal drugs.
April 2016 in “The journal of investigative dermatology/Journal of investigative dermatology” The ALADIN score can predict how well patients with alopecia areata will respond to JAK inhibitor treatments.
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.
January 2014 in “Anales Médicos de la Asociación Médica del Centro Médico ABC” The treatment effectively promoted hair growth with minimal side effects.
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.