6 citations
,
June 2018 in “PLOS ONE” The Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata from other hair loss types but needs more validation.
January 2018 in “Figshare” Ruxolitinib and tofacitinib are effective and safe for treating severe alopecia areata.
September 2024 in “Annals of Dermatology” A new diagnostic model can help better diagnose and understand Alopecia Areata.
11 citations
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September 2013 in “Journal of The European Academy of Dermatology and Venereology” People with alopecia areata may be more likely to have a certain type of hearing loss.
40 citations
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August 2022 in “Frontiers in immunology” Blocking JAK/STAT pathways can help treat hair loss from alopecia areata.
3 citations
,
April 2024 in “International Journal of Women’s Dermatology” Access to JAK inhibitor therapy for alopecia areata patients is difficult, especially for racial minorities.
4 citations
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May 2025 in “Frontiers in Immunology” JAK inhibitors effectively and safely treat alopecia areata with few serious side effects.
11 citations
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March 2021 in “Dermatology and therapy” Researchers created a new tool to measure the effects of alopecia areata from the patient's view, focusing on hair loss, daily life, and emotional health.
April 2022 in “Cermin Dunia Kedokteran” Accurate diagnosis and understanding of alopecia areata in children are crucial for proper treatment.
44 citations
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December 2005 in “Journal of Investigative Dermatology” Certain genetic markers, especially the MICA gene, are linked to alopecia areata.
Hair loss in young men in Central India is linked to severe heart disease.
3 citations
,
May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
September 1998 in “International Society of Hair Restoration Surgery” Alopecia areata affects about 2% of people and can impact any hair area.
2 citations
,
December 2017 in “The journal of investigative dermatology. Symposium proceedings/The Journal of investigative dermatology symposium proceedings” The conclusion is that a new method could improve the identification of autoimmune targets in alopecia areata, despite some limitations.
290 citations
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December 2017 in “Journal of The American Academy of Dermatology” Alopecia areata is an autoimmune condition causing hair loss, influenced by genetics, stress, and diet, and may be prevented by a high soy oil diet.
8 citations
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December 2020 in “The FASEB Journal” Blocking adenosine A2B receptor may prevent or treat hearing loss.
1 citations
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August 2019 in “Journal of pediatric & adolescent gynecology” A new genetic change causing early stop in the androgen receptor gene was found in a patient with androgen insensitivity syndrome.
January 2017 in “Seoul National University Open Repository (Seoul National University)” AIMP1 can boost hair growth by increasing stem cell activity.
1 citations
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April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Melanocyte-associated antigens may play a key role in alopecia areata and could be targets for new treatments.
January 2022 in “Al-Azhar Medical Journal” Higher antigliadin antibody levels are linked to alopecia areata severity.
July 2021 in “Journal of dermatology & dermatologic surgery” IMTA can help regrow hair in severe alopecia areata when JAK inhibitors don't work well.
November 2025 in “SKIN The Journal of Cutaneous Medicine” Baricitinib works better in adolescents than adults for treating severe alopecia areata.
August 2025 in “Journal of IMAB - Annual Proceeding (Scientific Papers)” The A-T advancement flap is a safe and effective method for scalp reconstruction after basal cell carcinoma removal.
7 citations
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March 2024 in “Skin Research and Technology” miR-200c-3p could help diagnose and treat alopecia areata.
2 citations
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October 2000 in “Journal of Investigative Dermatology” AUC and APL are distinct conditions needing careful clinical assessment.
1 citations
,
September 2019 in “Steroids” Two new mutations in the AR gene linked to severe androgen insensitivity were found.
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.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
161 citations
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March 1992 in “International Journal of Dermatology” Alopecia areata often starts before age 20, is more common in women, and may have a genetic link with other autoimmune diseases.
Integrating ABI screening in clinics can improve patient care for those at risk of peripheral artery disease.