October 2025 in “Indian Journal of Dermatology” Dermoscopy can help diagnose tuberous sclerosis by identifying unique skin patterns.
March 2025 in “Medical Science Journal for Advance Research” miR-155 levels in blood could help identify alopecia areata.
October 2024 in “Endocrinology Insights” The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
September 2024 in “Skin Research and Technology” AFM can help diagnose lichen planopilaris by identifying specific hair structure changes.
Dermatologists help detect gender-based violence by identifying skin signs of abuse.
October 2023 in “Journal of the Endocrine Society” The desmopressin stimulation test helped identify an adrenal cause for a patient's Cushing's syndrome.
September 2023 in “JEADV Clinical Practice” Dermoscopy helps diagnose folliculotropic mycosis fungoides by identifying specific skin patterns.
September 2023 in “Journal of the American Academy of Dermatology” Including special area involvement helps identify more psoriasis patients who may need systemic treatment.
August 2023 in “Journal of the American Academy of Dermatology” A scalp biopsy is essential for accurately identifying different types of hair loss.
June 2023 in “SPIRE - Sciences Po Institutional REpository” Extracellular vesicles and androgen receptors may help identify prostate cancer resistance and reduce SARS-CoV-2 infection.
December 2022 in “Skin Pharmacology and Physiology” Special scalp and hair examination techniques can identify hair problems.
July 2022 in “Skin research and technology” Skin CT can help diagnose rosacea by identifying specific skin features, but should be used with clinical signs to avoid misdiagnosis.
June 2020 in “Jurnal Penyakit Dalam Indonesia” Anti-DFS70 antibodies can help identify nonsystemic autoimmune conditions in SLE patients.
Keratin peptide signatures in hair may help identify gender and ethnicity.
Keratin peptide signatures in hair may help identify gender and ethnicity.
Keratin peptides in hair may help identify gender and ethnicity, but more research is needed.
Researchers developed a method to identify and measure different animal hair fibers in textiles, successfully distinguishing materials like cashmere from cheaper fibers.
January 2020 in “VCU Scholars Compass (Virginia Commonwealth University)” Sex hormone antibodies can help identify male and female contributors in forensic samples.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Higher resolution images are needed to identify scarring and fine hair in alopecia.
April 2018 in “Blackwell's Five‐Minute Veterinary Consult Clinical Companion” The document provides a guideline to help identify skin conditions in small animals based on lesion characteristics.
April 2016 in “Proceedings of SPIE” UV-induced autofluorescence is effective for identifying different types of alopecia.
March 2014 in “Pediatric Clinics of North America” The document discusses how to identify and manage common skin conditions in children.
January 2014 in “Sen'i Gakkaishi” Researchers developed a method to identify animal fibers in textiles, which works on processed and blended materials.
September 2013 in “Hair transplant forum international” The document says doctors should identify and treat Frontal fibrosing alopecia medically before considering surgery, as treatments often don't work well.
February 2012 in “Community oncology” The document concludes that accurately identifying leukemia types is crucial, and the risks of cancer from finasteride need careful evaluation against its benefits.
January 2008 in “Shanghai Journal of Traditional Chinese Medicine” Androgenic alopecia can be treated by identifying specific syndromes and using combined internal and external treatments.
March 2005 in “Journal of the American Academy of Dermatology” Recognizing minor skin lesions can help identify serious cancer syndromes.
January 2000 in “Acta Academiae Medicine Militaris Tertiae” Different keratins in hair follicles can help identify hair tumor origins.
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
Glycosylated keratin levels in hair can help identify the onset of insulin-dependent diabetes.