Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This study found that obesity and a negative body image negatively impact health-related quality of life and mental health in women with PCOS, indicating the need for healthcare professionals to address these issues with effective treatments.

This article discusses a new device for visualizing and quantifying skin distribution of a radioactively labelled compound, but reports no new clinical results.

This study found that hair canal and follicle diameters, outer root sheath area, and terminal-to-vellus hair ratios were significantly reduced in androgenetic alopecia patients compared to normal controls.

This study suggests that infrared thermography may be a useful noninvasive tool for diagnosing active phases of frontal fibrosing alopecia when combined with dermoscopy.

This study found that in vivo bioluminescence can track Smad2/3-dependent TGF-β signaling during the wound healing process in mice, with signaling increasing after healing rather than immediately post-wounding.

This study found that photoacoustic imaging can effectively measure follicle density and angles, even when follicles are not visible to the eye, providing a promising alternative to traditional photographic examination.

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.

This article discusses sexual interests and behavior in individuals with Prader-Willi syndrome and notes the lack of prior descriptions in this area, but reports no new clinical results.

This review summarizes evidence indicating that body image issues in patients with systemic lupus erythematosus should be addressed with the same importance as physical symptoms like pain and disability.

This study discusses the potential of advanced imaging technologies in dermatology to improve diagnostic accuracy and reduce the need for invasive procedures like biopsies, while noting significant barriers in adoption and accessibility in India due to costs and infrastructure constraints.

This study found that body image-related quality of life significantly mediates the relationship between pain and depressive symptoms in patients with systemic lupus erythematosus.

This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.

This review provides an overview of how advancing imaging technologies, such as tissue clearing and intravital microscopy, are enhancing our understanding of tumor architecture and interactions between cancer cells and the tumor microenvironment, aiding both fundamental cancer research and the development of therapies.

This review discusses the role of scalp imaging techniques in trichology for researching drug delivery and toxicology, without presenting new clinical results.

This article examines how makeover television programs reflect and reinforce patriarchal ideals of beauty and identity in women's body image, without presenting new empirical findings.

This study found significant correlations between old and new ultrasound devices for measuring NF and ovarian volume, being the first on the African continent to reassess ultrasound criteria for PCOS.

This study found that high-frequency ultrasonography may effectively distinguish different stages of alopecia areata and differentiate it from other scalp conditions.

This study suggests that adult hair follicle stem cells can survive and potentially differentiate into neuronal cells after being transplanted in a mouse model of traumatic brain injury, indicating promise for TBI therapy.

In this study, researchers used Google Search ads to gather an open access dataset of 10,408 dermatological images from over 5,000 U.S. internet users, enhancing the diversity and representativeness of skin condition images available for research and artificial intelligence development.

This review discusses imaging's role in the diagnosis and management of congenital adrenal hyperplasia and reports no new clinical results; it suggests a potential presentation route via incidental radiologic findings.

This study found that a deep learning model can potentially improve the diagnosis and staging of alopecia areata with high accuracy and reliability.

This study concluded that noninvasive imaging techniques offer potential benefits in managing scalp conditions by potentially reducing the need for biopsies and minimizing patient morbidity, each technique having unique advantages and limitations for specific conditions.

This study found that a mindfulness-based intervention significantly reduced alopecia distress and improved body image coping and health-related quality of life among Egyptian women with breast cancer and chemotherapy-induced alopecia.

This article describes current advancements and future possibilities in skin imaging technology, teledermatology, and AI in dermatology, without reporting new research results.

This article reviews the steps and methods involved in preparing skin tissues for three-dimensional volumetric imaging, highlighting its potential to provide detailed insights into skin structure not possible with traditional 2D histology, but reports no new findings.

This study proposed a method to automatically detect and replace hair in dermoscopy images, demonstrating high sensitivity and specificity in melanoma diagnostics.

This study aimed to determine if MRI can assess anatomical changes in the scalp caused by androgenetic alopecia, but it reports no new clinical results.

In this study, researchers developed a custom-designed 3D-printed microscope stage insert for inverted confocal microscopes, enhancing the accessibility of long-term intravital imaging of live cell dynamics in live transgenic mice, particularly in the skin.

This study introduces a novel method for digitizing hair color that accurately captures and renders the color appearance of physical hair samples in synthetic images.

Advanced imaging techniques are crucial for accurately diagnosing Monilethrix, a rare hair disorder.