research Modeling of chronic radiation-induced cystitis in mice
Researchers developed a mouse model that successfully mimics the bladder damage seen in humans after radiation therapy.
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120-150 / 1000+ results research The Role of Cognitions and Beliefs in Trichotillomania: A Qualitative Study Using Interpretative Phenomenological Analysis
Cognitions significantly influence Trichotillomania, suggesting cognitive therapies could help.
research A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery
Human-robot interaction becomes simpler as robots achieve full autonomy in surgery.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
research RNA Coding and Transcriptional Regulation in Skin Repair: Insights from Single-Cell Profiling and Implications for Organoid-Based Regenerative Strategies
Advances in RNA research and skin models offer hope for better skin healing without scarring.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Nailing It
The document concludes that a new training model could improve dermatology residents' skills in nail procedures and lead to more nail cases being treated by dermatologists.
research Proton Affinitive Derivatization for Highly Sensitive Determination of Testosterone and Dihydrotestosterone in Saliva Samples by LC-ESI-MS/MS
Using 5-butylpicolinate esters improves the sensitivity and reliability of detecting testosterone and dihydrotestosterone in saliva.
research The impact of particle size of nanostructured lipid carriers on follicular drug delivery: A comprehensive analysis of mouse and human hair follicle penetration
400 nm particles penetrate hair follicles best, but mouse models aren't fully reliable for human studies.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research The dark art of light measurement: accurate radiometry for low-level light therapy
Most low-level light therapy studies did not accurately report how light was measured, affecting treatment reliability.
research Grand challenges in dermatologic drug discovery: four priorities to transform skin disease treatment
Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Intermittent and Persistent Type 2 lupus: patient perspectives on two distinct patterns of Type 2 SLE symptoms
SLE patients experience two patterns of non-inflammatory symptoms: intermittent and persistent.
research Engineering a 3D wounded skin equivalent to study early inflammatory and regenerative responses in vitro
A 3D skin model helps study wound healing better than traditional methods.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Geometric classification of scalp hair for valid drug testing, 6 more reliable than 8 hair curl groups
A 6-group hair classification is more reliable for drug testing than an 8-group system.
research Chronic telogen effluvium is due to a reduction in the variance of anagen duration
Chronic hair shedding may be caused by less variation in hair growth times and might stop on its own after several years.
research Exploring the Chorioallantoic Membrane (CAM) as a Platform for Burn Wound Modelling and Analysis
The CAM is a useful model for studying burn wounds and testing treatments.
research Use of smartphones in telemedicine: Comparative study between standard and teledermatological evaluation of high-complex care hospital inpatients
Low-cost videomicroscopes might not be reliable for examining scalp disorders compared to standard methods.
research Hair follicle organoids: advances in construction, applications, and translational challenges
Hair follicle organoids can help study hair biology and disorders but need improvements for wider use.
research An induced pluripotent stem cell-based approach for hair follicle development and regeneration
iPSCs show promise for hair regeneration but need more research to improve reliability and effectiveness.
research Ultrasonic-assisted extraction and in-vitro antioxidant activity of polysaccharide from Hibiscus leaf
The study found an efficient method to extract antioxidants from Hibiscus leaves.
research A national survey of teledermatology education in United States residency programs
Low-cost videomicroscopes may not be reliable for diagnosing scalp disorders, smartphones could be reasonable for teledermatology, and U.S. residency programs need more teledermatology training.
research Fronteggiare l’inaffidabilità della letteratura da studi clinici
Public health decisions should rely on independent trials, not biased literature.