December 2025 in “Indian Dermatology Online Journal” Improved diagnosis and affordable topical treatments are essential for managing alopecia areata in India.
110 citations
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February 2024 in “Journal of Chemical Information and Modeling” PandaOmics uses AI to find new disease treatment targets and biomarkers.
December 2025 in “ADMET & DMPK” Personalized treatments for hair loss focus on specific genetic and biological pathways.
5 citations
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February 2025 in “Journal of Clinical Medicine” A new method improves alopecia diagnosis using non-invasive steps.
AI can personalize exercise routines to improve skin health.
April 2025 in “Preprints.org” AI can personalize exercise to improve skin health.
44 citations
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January 2011 in “Journal of Cutaneous Pathology” The HoVert technique is a simple, cost-effective new method that improves alopecia diagnosis by allowing detailed analysis from a single biopsy.
3 citations
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May 2012 in “BMC Endocrine Disorders” Early diagnosis and hormone therapy can significantly improve outcomes for post-partum pituitary insufficiency in resource-limited settings.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
September 2024 in “Journal of the American Academy of Dermatology” ChatGPT-4 can help with allergic contact dermatitis but shouldn't replace expert doctors.
1 citations
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August 2025 in “Medicina” Non-invasive imaging techniques improve scalp condition diagnosis and patient quality of life.
February 2024 in “Frontiers in physics” The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
15 citations
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January 2023 in “Antioxidants” Oxidative stress plays a significant role in alopecia areata, and new treatments may include JAK inhibitors and antioxidants.
4 citations
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April 2023 in “Autoimmunity reviews” High levels of IL6 and CRP, and low levels of vitamin D, might be indicators of alopecia areata.
2 citations
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June 2024 in “Journal of Clinical Medicine” Alopecia Areata can affect nails, often improving on its own, but JAK inhibitors may help.
January 2026 in “Pharmaceutics” Extracellular vesicles can worsen Alzheimer's but also offer potential for diagnosis and treatment.
4 citations
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January 2025 in “Dermatologica Sinica” Experts recommend personalized treatment plans for alopecia areata, using corticosteroids and minoxidil for mild cases, and stronger medications for severe cases.
3 citations
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July 2024 in “Journal of Clinical Medicine” Alopecia areata patients have a higher risk of subclinical atherosclerosis, and carotid ultrasound can help assess their cardiovascular risk.
7 citations
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March 2024 in “Skin Research and Technology” miR-200c-3p could help diagnose and treat alopecia areata.
28 citations
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February 2023 in “Healthcare” Many healthy adults in Pakistan have Metabolic Syndrome, with key risks being high triglycerides, low HDL cholesterol, and belly fat.
January 2024 in “Biomedicines” The review shows that skin symptoms like chronic fungal infections, hair loss, and skin depigmentation are key for early detection and management of APECED.
September 2025 in “International Journal of Medical Informatics” A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
4 citations
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November 2021 in “Biomedicines” New digital tools are improving the diagnosis and understanding of irreversible hair loss conditions.
April 2025 in “Frontiers in Medicine” Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
32 citations
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January 2014 in “Dermatology Research and Practice” Trichoscopy can effectively tell apart tinea capitis and alopecia areata in children by looking for specific hair shapes.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
15 citations
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September 2014 in “PloS one” The study found that analyzing certain cell signaling pathways is not a reliable method to tell apart two types of skin tumors.
2 citations
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November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.