Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This study found that among medical science students, while academic enthusiasm and loneliness are average, their fear of intimacy is below average; it also observed that increased loneliness predicts decreased academic enthusiasm, suggesting a need for workshops to address this issue.

This study found that while kidney transplant recipients generally reported good quality of life on immunosuppressive therapies, women experienced more distressing symptoms and lower satisfaction compared to men.

In this study, lifelong barley intake in SAMP8 mice was associated with extended lifespan, improved aging-related phenotypes, and beneficial shifts in the intestinal microbiome.

This study found that low image resolutions allow expert clinicians to detect alopecia, but higher resolutions are necessary for identifying scarring and vellus hair, which may inform future image processing algorithms in dermatology.

In this paper, Chemistry42—a software integrating AI with computational and medicinal chemistry—demonstrated efficiency in designing novel molecular structures targeting DDR1 and CDK20, with properties validated in both in vitro and in vivo studies.

This review discusses the similar immune pathways and genetic risk factors of vitiligo and alopecia areata but reports no new clinical findings, emphasizing the potential for shared treatment research.

This study observed that short-term administration of finasteride in male Wistar rats induced anxiety-like and depression-like behaviors, impaired spatial learning and memory, and reduced synaptic plasticity in the hippocampus, with a trend of increased corticosterone levels noted.

This study observed that using DNA nanostructures to deliver chemotherapy drugs could potentially reduce costs compared to traditional methods, with financial barriers being less significant than technical, regulatory, and ethical challenges.

This study identified a target relationship between miR-148a, miR-10a, and BMP7, suggesting these microRNAs influence dermal papilla cell proliferation and may regulate hair follicle growth.

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 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 study introduces AlopeciaDet, a novel feature fusion technique, using camera images to detect Alopecia Areata with 99.45% accuracy, outperforming existing methods by leveraging CRSHOG and ResNet-50 features.

This study found that toll-like receptor 9 plays a previously unrecognized role in sensing skin injury and influencing tissue repair and regeneration in adult mice by modulating γδT cell migration.

This review explores recent advancements in precise cell manipulation technologies, detailing the status, principles, benefits, limitations, and future potential of methods like single-cell manipulation and 3D bioprinting for cells and tissue engineering.

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

This review discusses recent advances in protein immobilization on bacterial cellulose for various biomedical uses and reports no new clinical results.

This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

This study found a significant association between finasteride use and increased risk of memory impairment, highlighting the need for risk communication and routine cognitive monitoring for long-term users.

This article reviews the use of bimatoprost for eyelash hypotrichosis and reports its effectiveness in promoting eyelash growth but highlights uncertain efficacy in cases of eyelash alopecia areata.

This review discusses recent advancements in triboelectric nanogenerator-based electronics for clinical applications and reports no new experimental results, focusing on customization for chronic disease diagnosis and long-term treatment.

This study reports that a robotic and AI-based system successfully analyzes FUE hair transplant procedures, aiding surgeons in planning and assessing operation success through detailed pre-op and post-op evaluations.

This paper reviews the underattention to aging hair care in cosmetic dermatology and emphasizes the need for a comprehensive approach to facial and hair rejuvenation, but it reports no new research findings.

This review suggests that hyperspectral and terahertz imaging show promise in non-invasively assessing scalp changes associated with hair loss, but further validation is needed for clinical application.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

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.

In this study, polydopamine emerged as a safe and effective alternative to traditional hair dyes like PPD for dyeing gray hair permanently, showing resistance to detergents and causing less toxicity and hair loss in mice.

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 examines the spontaneous clearance of hepatitis C virus and factors such as IL-28B genetic polymorphism, which have been associated with this outcome, and reports no new clinical results.

This overview discusses the mind-body problem and suggests that the brain may be intrinsically part of the mind, processing abstract data without direct interaction, but reports no new research results.