Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This article reviews the design and objectives of the Rotterdam Study, as well as summarizes major findings, without reporting new results.

This study reviews the evolution and modifications of microneedle drug delivery systems, initially designed for percutaneous use, now expanded for targeting a variety of tissues and organs such as ocular, oral mucosal, and gastrointestinal, suggesting widespread future applicability.

This abstract describes a program with various presentations and events focused on Canadian excellence in rheumatology but reports no new research findings.

This study analyzed deep learning's application to automate hair density measurement in images and found that YOLOv4 had the best performance among tested algorithms, with a mean average precision of 58.67.

This research explored the use of machine learning and deep learning methods to accurately identify alopecia areata in humans by analyzing facial images and demonstrated the potential of these techniques for medical, security, and commercial applications.

This study found that topical niacinamide significantly improved the appearance of wrinkles, skin yellowing, and elasticity in aging facial skin over 12 weeks.

This study captured digital images of hair regions in healthy individuals and patients with androgenetic alopecia to analyze and compare the number of follicular units and hairs using software.

A new computer tool quickly measures hair thickness differences in people with common types of hair loss.

This study found that while a tip-focused calcium gradient influences localized growth in root hairs and pollen tubes, it is not the primary determinant of growth direction in root hairs of Arabidopsis thaliana.

This study found that grafting split-thickness human skin onto nude mice produces scars that mimic hypertrophic scar characteristics in humans, offering a useful model for studying scar formation and treatments.

This review discusses the influence of menopausal status on hair parameters in women without alopecia, finding significant differences in hair growth rate, percentage anagen, and hair diameter distributions, particularly in the frontal scalp.

This study developed a prototype device that suggests potential for diagnosing changes in hair quantity, diameter, and density, though formal clinical studies are needed to confirm these findings.

This study suggests that a prototype device may accurately measure hair quantity, diameter, and density in balding patients, potentially aiding in diagnostic assessments, though formal clinical studies are needed to confirm its effectiveness.

This article outlines the rationale, design, major findings, and updated objectives of the ongoing Rotterdam Study, without presenting new research data.

This study found that osteopontin expression was significantly higher in alopecia areata lesions compared to healthy controls, suggesting it may play a role in the disease's pathogenesis.

This study reported that a low color temperature light (1900 K) may have positive effects on melatonin secretion, eye protection, wound healing, and hair regeneration compared to higher temperature lights.

This study found that decision-making effects related to time of day and chronotype were only significant when using RNA-based chronotype measurements, indicating molecular clock differences may influence these behaviors.

This study found that hair steroid analysis effectively detected increased hormone levels from both a single testosterone dose and laboratory-induced stress, revealing individual context factors like relationship status also impact hair hormone concentrations.

This study developed finite element models to examine skin's biomechanical properties, finding that structural heterogeneities like Rete ridges and hair follicles create distinct stress and strain patterns that may influence mechanosensation and skin integrity.

In this clinical study, researchers reported that both sodium valproate-loaded nanospanlastics and topical corticosteroids showed comparable modest efficacy in treating patchy alopecia areata, recommending further investigation into sodium valproate's role combined with other therapies.

This review highlights that gut dysbiosis and bacterial extracellular vesicles are key factors in PCOS pathophysiology, and suggests AI-driven analysis of these profiles could enhance diagnostic accuracy and treatment personalization, though ethical concerns like data privacy and bias must be considered.

This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.

In this study, researchers using visual analysis reported a rising trend in platelet-rich plasma research from 2020 to 2024, with significant contributions from the United States and China, highlighting key applications in orthopedics, tissue engineering, and potential future focuses in neurogenic pain and regenerative medicine.

This study used light sheet fluorescence microscopy to successfully image and analyze calcium oscillations in the root hairs of Arabidopsis thaliana, finding that these oscillations correlate with the root hair growth rate and that auxin affects these properties.

This study reported a new method enabling the observation of the full leg regeneration process in the crustacean *Parhyale hawaiensis* over 10 days, capturing cellular resolution while minimizing photodamage, through innovative imaging techniques and computer-assisted cell tracking.

In this study, the researchers used machine learning techniques on an image dataset to diagnose Alopecia Areata, achieving a maximum accuracy of 98.3%.

This study reports that publicly available large language models are currently less accurate than human experts in diagnosing trichoscopic images, suggesting the need for further development and specialized training for these AI tools in trichology.

This study found that progesterone levels were suppressed in underweight anorexia nervosa patients compared to healthy controls, as measured through hair analysis, and did not increase during short-term weight restoration.

This study found that their newly developed ADRL framework significantly improved the accuracy of scalp tissue layer segmentation in HR-MR images compared to existing methods.

This study reviewed the use of 3D printing and bioprinting for tympanic membrane repair, comparing them with traditional materials and noting their clinical significance, while highlighting the need for further analysis of bio-ink selection strategies involving biopolymers, cells, and drugs.