VitaDetect uses AI to find vitamin deficiencies by analyzing images of nails, tongue, and skin.
April 2026 in “International Journal of Engineering Research and Science & Technology” The system helps identify vitamin deficiencies early by analyzing symptoms.
January 2026 in “Archives of Dermatological Research”
November 2025 in “Scientific Reports” COVID-19 may cause hair loss by affecting hair follicles.
Machine learning can accurately predict hair loss early, improving treatment options.
August 2025 in “Biomedicines” Half-siblings with a rare skin condition improved with treatment for a fungal infection, but hair loss remained.
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
October 2022 in “BMC genomics” RNA editing significantly affects hair growth and follicle cycling in the Tianzhu white yak.
July 2020 in “Research Square (Research Square)” The study found key long non-coding RNAs involved in yak hair growth cycles.
June 2020 in “Research Square (Research Square)” The study found key long non-coding RNAs involved in yak hair growth cycles.
March 2020 in “Research Square (Research Square)” Different long non-coding RNAs in yaks change during hair growth cycles and are involved in key growth pathways.
A 5 cm hair sample can reveal blood type and keratin type for forensic use.
January 2020 in “Asian Journal of Chemistry” Raman spectroscopy can identify finasteride polymorphs in tablets.
57 citations
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August 2023 in “American Journal of Clinical Dermatology” JAK inhibitors and platelet-rich plasma show promise for treating alopecia areata.
30 citations
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November 2018 in “EMBO Reports” The Ovol2-Zeb1 circuit is crucial for skin healing and hair growth by guiding cell movement and growth.
26 citations
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October 2016 in “American journal of clinical dermatology” New treatments like JAK inhibitors show promise for reversing alopecia areata.
4 citations
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May 2024 in “INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT” AI can accurately diagnose hair and scalp conditions and suggest treatments.
2 citations
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January 2024 in “IEEE Access” AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
1 citations
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September 2024 in “arXiv (Cornell University)” Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
1 citations
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November 2024 in “Pathogens” Lung microbiome research is growing, focusing more on specific mechanisms and clinical uses.
August 2026 in “Molecular Biomedicine” Hydrogels are promising for treating complex diseases due to their adaptability and potential in drug delivery and tissue repair.
February 2026 in “Middle European Scientific Bulletin” Improving scalp microbiome may help restore hair and improve scalp health.
January 2026 in “ITM Web of Conferences” Better datasets and methods are needed for reliable vitiligo detection using deep learning.
September 2025 in “Animals” Accurate diagnosis and effective treatment are crucial to manage and prevent the spread of skin fungal infections in animals.
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
April 2018 in “Journal of Investigative Dermatology” Ovol2 is important for proper skin healing and hair growth.
Calcium and hydrogen ions help root hair growth, while aluminum inhibits it.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
23 citations
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November 2021 in “Frontiers in Chemistry” Nanozymes could improve disease treatment and detection.
11 citations
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February 1982 in “Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis” A new method can detect mutations in mice by observing changes in hair follicle cells.