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This review highlights the role of matriptase in epithelial differentiation and cancer, noting that unregulated matriptase expression can enhance cancer progression in animal models, but reports no new experimental data.

Matriptase is crucial for skin barrier, hair growth, and may contribute to skin cancer.

In this study, immobilized VEGF selectively captured endothelial cells under various shear stresses, suggesting its potential for promoting endothelialization in vascular grafts or implanted tissues.

This study found that Malt1, particularly its protease activity, plays a crucial role in maintaining Treg cell function and homeostasis, with its inactivation leading to autoimmune diseases and altered immune responses in mice.

In this study, researchers found that people with Parkinson's disease showed higher levels of inflammasome proteins, including caspase-1, ASC, and IL-18, compared to healthy individuals, suggesting these proteins as reliable biomarkers for inflammation in PD.

This article discusses the potential health risks associated with long-term use of finasteride and dutasteride for prostate and hair loss treatments, suggesting risks may include non-alcoholic fatty liver disease, insulin resistance, type 2 diabetes, and other metabolic issues.

In this study, researchers found that the matriptase-HGF-c-MET pathway may be activated in proliferative cells of human hair follicles and sebaceous glands, suggesting a potential role in hair growth regulation.

In this study, Doublebase gel was more effective in maintaining and increasing skin hydration compared to Aqueous cream BP, with higher patient satisfaction and preference for future use.

In this study, researchers found significant associations between trichoscopic features and the severity of androgenetic alopecia in Korean participants, suggesting trichoscopy as a useful tool for early detection and monitoring by identifying indicators like vellus hairs and follicular unit changes.

This review discusses the characteristics and diagnostic challenges of fibrosing alopecia pattern distribution, proposing an algorithm for hair transplantation, but reports no new clinical results.

This article discusses the importance of artistic hairline design and clear outlining in planning the recipient area for hair transplants but reports no clinical results.

This study describes a system called FOLLYSIS©, which uses mathematics and image analysis to optimize Follicular Unit Extraction hair transplants, showing high accuracy in measuring donor area density and reducing donor site injury.

This study found that an Attention-based Balanced Multi-Task Deep learning system achieved a 95.11% accuracy in classifying Alopecia Areata conditions using hair and scalp images, outperforming classical methods.

This study proposes a deep learning model using CNN with VGG16, VGG19, and MobileNetV2 architectures, achieving high accuracy in classifying scalp diseases from images, potentially facilitating diagnosis and treatment via mobile devices.

This article presents a new method using dermoscopy to evaluate the severity and treatment effectiveness of androgenetic alopecia in men by capturing images of specific scalp regions.

This review examines the current state of automated vitiligo detection systems, noting a lack of large, diverse datasets and consistent imaging conditions, while comparing traditional and modern machine learning approaches to improve reliability and applicability.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

In this study, a new shading model for hair was developed that better matches real-life light scattering, thanks to detailed new measurements of hair fiber scattering not predicted by existing models.

In this study, the researchers developed a computer-aided imaging system to quantitatively measure baldness in Chinese women with female pattern hair loss, potentially improving the precision of severity evaluation compared to traditional scales.

This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.

This study found that 5-bromo-3,4-dihydroxybenzaldehyde (BDB) promoted hair growth in rat vibrissa follicles by activating Wnt/β-catenin and autophagy pathways and inhibiting the TGF-β pathway in dermal papilla cells.

This article explores aesthetic techniques in follicular hair transplantation, emphasizing natural-looking results and plans to present a case study, but it reports no new clinical findings.

In this study, a system was developed utilizing advanced image processing to analyze hair and scalp conditions, aiding professionals in diagnosing diseases like alopecia and monitoring treatment by extracting and comparing key parameters from microscopic images.

This systematic review identified and evaluated the most accurate ICD code classification methods for dermatologic conditions in US-based datasets, highlighting both high-performing algorithms and areas lacking validation, thereby informing future research and dataset use.

This study reports that using stamps to mark scalp incisions with gentian violet ink and a barrier film improved incision symmetry and maintained slot visibility for hair graft insertion in the frontal region.

This study developed a simple and reliable technique to quantify hair loss in mice, potentially enhancing assessment and comparison of new alopecia therapies in preclinical research.