6 citations
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August 2022 in “Molecules” A hair test shows promise for early mood disorder diagnosis.
January 2026 in “Mendeley Data” January 2026 in “Mendeley Data”
36 citations
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October 1996 in “Dermatologic Clinics” Mice are useful for researching human hair loss and testing treatments, despite some differences between species.
October 2021 in “Dermatology reports” The care model improved timely diagnosis and treatment for psoriasis and psoriatic arthritis.
November 2023 in “Journal of Investigative Dermatology” JAK inhibitors partially restore scalp bacteria balance in alopecia areata patients.
4 citations
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August 2017 in “Journal of Cosmetic Dermatology” Finger length ratio may indicate male hair loss.
February 2024 in “arXiv (Cornell University)” Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
March 2024 in “bioRxiv (Cold Spring Harbor Laboratory)” Minoxidil treatment improves heart defects in a DiGeorge syndrome model.
1 citations
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October 2022 in “Biomedicines” Prdm1 is necessary for early whisker development in mice but not for other hair, and its absence changes nerve and brain patterns related to whiskers.
12 citations
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September 2024 in “Frontiers in Immunology” Mitochondrial genes help predict breast cancer outcomes and spread.
2 citations
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January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
3 citations
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January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
5 citations
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November 2011 in “Journal of Cutaneous Medicine and Surgery” Hairless dogs can be used to study human hypertrophic scars.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
3 citations
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January 2021 in “Journal of The American Academy of Dermatology” Different types of atopic dermatitis were linked to specific genetic and immune changes, suggesting that severe cases might need stronger immune-targeting treatments.
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
5 citations
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June 2016 in “TURKDERM” Scoring systems help doctors assess and treat skin diseases effectively.
December 2018 in “Dermatologic Surgery”
15 citations
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September 2014 in “Journal of The American Academy of Dermatology” Seven patients were misdiagnosed with discoid lupus instead of lichen planopilaris due to similar symptoms, showing the need for careful diagnosis in scarring hair loss conditions.
January 2020 in “VCU Scholars Compass (Virginia Commonwealth University)” Sex hormone antibodies can help identify male and female contributors in forensic samples.
73 citations
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March 2009 in “Seminars in Cutaneous Medicine and Surgery” The document concludes that accurate diagnosis of hair disorders is crucial and requires a range of diagnostic methods.
January 2021 in “Lecture notes in networks and systems” Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
7 citations
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May 2019 in “European Journal of Human Genetics” BMP4-related anomalies can cause a wide range of eye, brain, and hand/foot problems, and new cases show this variability.
14 citations
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April 2019 in “Genes” Researchers found a genetic region that influences the number of coat layers in dogs.
January 2015 in “Hair therapy & transplantation” New hair and scalp disease diagnosis methods are important for correct treatment.
2 citations
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October 2023 in “Philosophical Transactions of the Royal Society B Biological Sciences” Different PADI isoforms help cells develop diverse functions.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.