October 2022 in “JAAD case reports” A man with itchy skin lesions and weight loss was diagnosed with a rare skin condition linked to a pancreatic tumor.
February 2024 in “Skin research and technology” LC-OCT is a promising tool for diagnosing and monitoring Alopecia areata.
6 citations
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July 2005 in “Acta Ophthalmologica Scandinavica” Mitochondriopathy may cause eyelash loss.
20 citations
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May 2011 in “Journal of Clinical Investigation” The study created a mouse model to mimic degenerative diseases for testing tissue repair and new therapies.
15 citations
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June 2021 in “Medicina” Combined light therapy improves eye health and quality of life for those with meibomian gland dysfunction.
March 2014 in “Journal of The American Academy of Dermatology” Reflectance confocal microscopy can noninvasively diagnose onychomatricoma by showing unique features different from healthy nails or nail fungus.
April 2023 in “The journal of investigative dermatology/Journal of investigative dermatology” The research identified unique metabolic activities in immune cells associated with hair loss in Alopecia Areata.
26 citations
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April 2011 in “Skin Research and Technology” In vivo confocal scanning laser microscopy is an effective, non-invasive way to study and measure new hair growth after skin injury in mice.
June 2023 in “JAAD Case Reports” A man had a rare skin cancer that looked like a bald spot.
April 2016 in “Proceedings of SPIE” UV-induced autofluorescence is effective for identifying different types of alopecia.
January 2025 in “Clinical Case Reports” Timely and aggressive treatment is crucial for improving outcomes in severe complications of adult-onset Still's disease.
32 citations
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August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
January 2026 in “Frontiers in Molecular Biosciences” A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
1 citations
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October 2024 in “Dermatology Practical & Conceptual” Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.
January 2020 in “JAAD case reports” Systemic mastocytosis may cause a type of hair loss called cicatricial alopecia.
3 citations
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November 2021 in “Applied Microscopy” Hair microscopy is a simple and cost-effective method to help diagnose systemic diseases in children.
13 citations
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June 2014 in “Molecular therapy” The lentiviral array can monitor and predict gene activity during stem cell differentiation.
August 2023 in “The Kitakanto Medical Journal” Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.
15 citations
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November 2009 in “Journal of diabetes and its complications” Patients with Type 1 diabetes should be screened for pernicious anemia.
13 citations
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December 2021 in “Molecules” Inorganic nanomaterials can improve brain disease imaging by being more precise and faster than traditional methods.
New imaging tools help doctors better examine hair and scalp health without surgery.
January 1990 in “대한피부과학회지” Peanut agglutinin staining helps differentiate malignant melanoma from nevocellular nevus.
1 citations
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May 2001 in “Journal of Labelled Compounds and Radiopharmaceuticals” Scientists at the University of Michigan Medical School successfully created a special compound that can be used to improve imaging of prostate cancer.
March 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
November 2025 in “Scientific Reports” Liver disease is linked to hair loss, especially in women and those with unhealthy lifestyles.
9 citations
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March 2017 in “Journal of Visualized Experiments” The assay effectively identifies compounds that affect immune cell activation.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
A new imaging method helps see and study touch nerve endings in mouse skin.
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.