Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
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.
7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” The new model improves Alopecia Areata classification accuracy to 93.1%.
3 citations
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October 2017 in “Journal of Cosmetic Dermatology” Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
1 citations
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December 2022 in “Sultan Qaboos University medical journal” The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
June 2025 in “British Journal of Dermatology” The new AI software predicts melanoma outcomes more accurately than traditional methods.
3 citations
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March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.
Machine learning optimized microneedles for hair loss treatment showed better hair regrowth than minoxidil without safety risks.
August 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Machine learning optimized microneedles promote hair regrowth better than minoxidil without safety risks.
2 citations
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November 2024 Machine learning can accurately predict mental disorders.
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
August 2025 in “BMC Pharmacology and Toxicology” The LTF gene may help predict and manage nonspecific orbital inflammation.
8 citations
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December 2022 in “Journal of Translational Medicine” WNMFDDA effectively predicts drug-disease associations.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
2 citations
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June 2013 in “Journal of Clinical Pathology” The LMNA mutation affects skin structure even in asymptomatic carriers.
August 2025 in “International Journal of Research Publication and Reviews” Machine learning can predict stress-related hair loss and suggest prevention tips.
August 2025 in “OPAL (Open@LaTrobe) (La Trobe University)” Optimized microneedles promote hair regrowth better than minoxidil without safety risks.
36 citations
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July 1996 in “The journal of investigative dermatology/Journal of investigative dermatology” Mice with the 'lanceolate hair' mutation have abnormal hair and skin similar to human Netherton's syndrome.
November 2025 in “Scientific Reports” AI improves accuracy and consistency in diagnosing male pattern hair loss.
13 citations
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November 2022 in “Biomaterials Science” The microneedle patch effectively promotes hair regrowth by delivering miR-218.
December 2023 in “Modern engineering and innovative technologies”
9 citations
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July 2010 in “British Journal of Dermatology” The document suggests a rare skin condition might be caused by a genetic phenomenon.
Machine learning can accurately predict hair loss early, improving treatment options.
June 2020 in “The journal of investigative dermatology/Journal of investigative dermatology” Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
3 citations
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October 2021 in “Research Square (Research Square)” The model can effectively help diagnose meibomian gland dysfunction automatically.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
July 2014 in “Plastic and Reconstructive Surgery” Sentinel lymph node biopsy is recommended for all types of desmoplastic melanoma due to higher rates of nodal metastasis.