9 citations
,
April 2022 in “Cell Communication and Signaling” High S100A4 levels worsen glioblastoma by promoting blood vessel growth.
12 citations
,
September 2012 in “Computer Graphics Forum” The method improves hair animation from video by combining image techniques and simulations.
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.
April 2023 in “JMIR Research Protocols” The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
25 citations
,
November 2010 in “Journal of Molecular Structure” Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
The modified stem cells with VEGF165 in a special scaffold improved blood vessel growth and wound healing for skin repair.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
February 2024 in “arXiv (Cornell University)” Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
March 2025 in “Laboratory Investigation” MESTSV is a rare tumor that is mostly benign but needs long-term monitoring due to potential recurrence.
January 2025 in “Nature Communications” Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.
5 citations
,
January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.
3 citations
,
October 2023 in “Journal of Pain” Certain proteins might predict surgical success in trigeminal neuralgia treatment.
March 2026 in “Journal of Evidence-Based Medicine” AI chatbots can be reliable learning tools for plastic surgery students.
April 2023 in “Journal of Investigative Dermatology” An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
1 citations
,
January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
30 citations
,
July 2017 in “Stem cells and cloning” SVF-enhanced adipose transplantation shows potential as a hair loss treatment.
April 2015 in “MOJ Cell Science & Report” Rat hair follicle stem cells can be used to improve blood vessel growth in engineered skin.
December 2023 in “Clinical, cosmetic and investigational dermatology” The new method combining dermoscopy and Reflectance Confocal Microscopy is more effective for evaluating vitiligo.
The model accurately predicts hair loss by analyzing various factors.
1 citations
,
January 2022 in “Electronic Imaging” A new method accurately captures and renders hair color for virtual reality and hair dye use.
December 2021 in “Research Square (Research Square)” S100A4 and NMIIA promote tumor growth in glioblastoma by enhancing blood vessel functions.
March 2022 in “Osaka City University (Osaka City University)” Ovariectomy in mice affects hair growth and skin thickness, suggesting potential for obesity treatment research.
11 citations
,
August 2017 in “American Journal of Dermatopathology” EVG staining helps tell apart follicular scars from follicular streamers, aiding in diagnosing different types of hair loss.
57 citations
,
July 2018 in “Scientific Reports” Using adipose tissue-derived fragments improves early skin graft success.
1 citations
,
July 2024 in “Journal of Investigative Dermatology” VYN201 shows promise as a safe and effective treatment for non-segmental vitiligo.
24 citations
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October 2022 in “Cell Regeneration” A new mouse model effectively mimics vitiligo for research and drug testing.
2 citations
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September 2023 in “Journal of clinical medicine” Scalp skin grafts effectively cover lower limb defects with high success and minimal complications.
1 citations
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December 2025 in “Scientific Reports” A machine learning model can predict alopecia areata early using specific gene markers.
27 citations
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April 2017 in “European journal of endocrinology” The research found that MRI and certain hormone levels can help tell apart ovarian tumors from hyperthecosis in postmenopausal women, but tissue analysis is still needed for a definite diagnosis.