February 2026 in “International Journal of Molecular Sciences” Extracellular vesicles show promise for medical use but face challenges in standardization and safety.
October 2025 in “International Journal of Molecular Sciences” Stem cells have great potential for treating various medical conditions.
July 2025 in “Nano Research” Nanotechnology can improve tissue healing by controlling immune responses.
May 2025 in “Frontiers in Pharmacology” Targeting gut microbiome and metabolome may help treat autoimmune skin diseases like alopecia areata.
December 2024 in “International Journal of Molecular Sciences” Human umbilical cord stem cell vesicles may help treat aging and related diseases.
July 2024 in “Clinical Cosmetic and Investigational Dermatology” Certain immune cells are linked to non-scarring hair loss, suggesting potential for immune-targeted treatments.
January 2024 in “Journal der Deutschen Dermatologischen Gesellschaft” Non-biologic immunosuppressive drugs are crucial for treating autoimmune and chronic inflammatory skin diseases.
December 2023 in “Redox biology” The substance DMC helps get rid of aging cells by triggering a process that causes cell death, which could treat age-related diseases.
June 2023 in “University of Thi-Qar Journal of Science” Retinoids effectively treat skin aging but have safety and stability issues.
November 2016 in “Regenerative Medicine” In September 2016, there were major advancements and promising clinical trials in stem cell research and regenerative medicine.
1 citations
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September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
1 citations
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January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
October 2024 in “Zeitschrift für angewandte Mathematik und Physik”
1 citations
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December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
24 citations
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June 2012 in “BMC Research Notes” The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
June 2025 in “International Journal of Computational Intelligence Systems” The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
November 2009 in “Hair transplant forum international” Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.
10 citations
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September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
January 2022 in “Journal of Pharmaceutical Negative Results” The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
1 citations
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January 2026 in “GigaScience” Cell Journey is a tool for better 3D visualization of cell changes over time.
January 2009 in “2009 Annual Conference of Japanese Society for Investigative Dermatology, Fukuoka, Japan, December 4-5, 2009” 6 citations
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August 2016 in “Journal of Visualized Experiments” The CUBIC protocol allows detailed 3D visualization of proteins in mouse skin biopsies.
February 2024 in “International journal of medical science and clinical research studies” CCCA is a scarring hair disorder mainly affecting people of African descent, needing better awareness and treatment.
August 2001 in “Dermatologic Surgery” Elliptografting gives better hair appearance and satisfaction than other methods.
5 citations
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June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
April 2024 in “Pharmacoepidemiology and drug safety (Print)” The algorithm accurately identified alopecia in women of childbearing age using claims data.
2 citations
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September 2020 in “Hair transplant forum international” A new tool makes hair transplant surgeries faster by creating multiple cuts in one go.
20 citations
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December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.