9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
8 citations
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August 2021 in “Computational and Mathematical Methods in Medicine” Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
October 2025 in “Frontiers in Artificial Intelligence” "HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
2 citations
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January 2019 in “Springer eBooks” Segmental Vitiligo is a stable, early-onset form of vitiligo that responds well to early treatment and is ideal for repigmentation studies.
8 citations
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May 2019 in “Journal of dermatological treatment” Vismodegib is effective for basal cell carcinoma but has severe side effects.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
3 citations
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October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” scINSIGHT helps understand single-cell gene expression better than current methods.
November 2025 in “Informatica” The method greatly improves low-light sports images' quality and reduces artifacts.
2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
March 2026 in “Journal of the European Academy of Dermatology and Venereology” VESALT improves alopecia areata assessment by including non-scalp areas and is reliable and user-friendly.
1 citations
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October 2019 in “Journal of Craniofacial Surgery” 3D virtual planning can help in precise skull reconstruction for advanced skin cancer, but patient-specific factors must be considered.
12 citations
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July 2011 in “European Journal of Dermatology” The VSCAPSI is a helpful method for evaluating the severity of scalp psoriasis.
28 citations
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June 2023 in “Small” VVF alone can't fully describe porosity in granular scaffolds.
December 2025 in “Advanced Healthcare Materials” The Spherical Skin Model improves drug and cosmetic testing by accurately mimicking human skin for efficient compound screening.
January 2008 in “Zhongguo zuzhi gongcheng yanjiu yu linchuang kangfu” Vaginal mucosa stem cells can be effectively isolated and cultured using specific methods.
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
January 2019 in “CLINICAL AND EXPERIMENTAL MORPHOLOGY” 822 citations
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January 2021 in “Genome biology” scMC effectively separates biological signals from technical noise in single-cell genomics data.
1 citations
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October 2025 in “Scientific Reports” Sonidegib and vismodegib have different side effects and reporting patterns.
12 citations
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June 2016 in “Clinical and experimental dermatology” A new genetic mutation in the TRPV3 gene causes Olmsted-like syndrome in a Mongolian family.
February 2024 in “Journal of the American Academy of Dermatology” Vascular patterns in dermoscopy help tell apart malignant and benign skin tumors.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
1 citations
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January 2026 in “GigaScience” Cell Journey is a tool for better 3D visualization of cell changes over time.
October 2023 in “The Journal of Dermatology” The HSVS-A is an effective tool for quickly screening hair shedding in Asian women.
5 citations
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August 1983 in “PubMed” DNA virus-induced tumors have consistent isozyme profiles, unlike other tumor types.
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.
April 2023 in “JMIR Research Protocols” The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
12 citations
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June 2025 in “Gut Microbes” BroadAMP-GPT effectively creates antimicrobial peptides to fight drug-resistant bacteria.
4 citations
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October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
3 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Machine learning can help find new ways to treat alopecia areata.