February 2026 in “Expert Review of Endocrinology & Metabolism” Early identification and personalized treatment of skin issues in PCOS are crucial for better outcomes.
July 2025 in “Journal of Investigative Dermatology” Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
3 citations
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May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
11 citations
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December 2002 in “Controlled Clinical Trials” Simple methods using DHT levels effectively assess compliance.
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.
11 citations
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April 2019 in “Journal of Biological Research” The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
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.
3 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Machine learning can help find new ways to treat alopecia areata.
1 citations
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December 2018 in “IntechOpen eBooks” Human hair shows promise for non-invasive medical testing, but more research is needed to standardize its use.
March 2024 in “International journal of molecular sciences” Meibomian glands are highly specialized and differ significantly from other sebaceous glands in structure and function.
3 citations
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November 2022 in “European Journal of Human Genetics” New models predict male pattern baldness better than old ones but still need improvement.
A high neutrophil-to-lymphocyte ratio may predict poor response to hair loss treatment.
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
December 2025 in “Cosmetics” Gut bacteria differences could help diagnose and treat alopecia areata.
9 citations
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May 2025 in “Stem Cell Research & Therapy” Extracellular vesicles can both worsen and help treat age-related diseases and are useful for early diagnosis.
November 2025 in “British Journal of Dermatology” The guideline recommends personalized treatment for alopecia areata, including new oral medications and psychological support.
February 2024 in “Skin research and technology” The research suggests that immune cells and a specific type of cell death called ferroptosis are involved in Frontal fibrosis alopecia.
June 2025 in “Journal of Cosmetic Dermatology” AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
2 citations
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July 2025 in “Frontiers in Veterinary Science” MicroRNAs and AI can improve cashmere goat hair quality and aid in hair disorder diagnosis.
5 citations
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April 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Aging skin shows thinner layers, fewer hair follicles, and new biomarkers like increased space between cells and smaller sebaceous glands.
7 citations
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January 2012 Neural networks can effectively predict hair loss.
1 citations
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November 2016 in “Congenital Anomalies” Get head MRI for babies with achondroplasia early, use free immunoglobulin light chains to detect certain neurodevelopmental disorders, and video calls work for speech therapy in patients with facial anomalies.
January 2025 in “RSC Pharmaceutics” Smart microneedles using advanced tech could improve psoriasis treatment.
182 citations
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December 2017 in “Journal of the American Academy of Dermatology” Some treatments can help with a hair loss condition called alopecia areata, but none ensure lasting results; choices depend on the person, with JAK inhibitors showing promise for severe cases.
58 citations
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December 2020 in “Mayo Clinic Proceedings” The conclusion is that individual differences in COVID-19 severity are influenced by factors like age, sex, race, and genetics, which are important for personalized medicine.
67 citations
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December 2015 in “Journal of the National Comprehensive Cancer Network” The guidelines aim to find treatable prostate cancer early while avoiding unnecessary tests and treatments.
AI can personalize exercise routines to improve skin health.
2 citations
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October 2023 in “Cancer Reports” Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.
52 citations
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January 2017 in “Dermatology” Swiss experts recommend specific guidelines for diagnosing and treating hidradenitis suppurativa to improve patient care.