research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
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research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research Phenotypic and Endotypic Determinants of Atopic Dermatitis Severity From the Atopic Dermatitis Research Network (ADRN) Registry
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 Clinicopathologic lessons in distinguishing cicatricial alopecia: 7 Cases of lichen planopilaris misdiagnosed as discoid lupus
Seven patients were misdiagnosed with discoid lupus instead of lichen planopilaris due to similar symptoms, showing the need for careful diagnosis in scarring hair loss conditions.
research Comedonic discoid lupus erythematous
Doctors should consider comedonic discoid lupus erythematosus to avoid misdiagnosis.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research A pair of transmembrane receptors essential for the retention and pigmentation of hair
Bmpr2 and Acvr2a receptors are crucial for hair retention and color.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Animal models for male pattern (androgenetic) alopecia.
The stump-tailed macaque is a good model for studying human hair loss, but it's expensive and hard to find, while rodent models are promising for understanding hair growth and finding new treatments.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
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 A Characterization of Disparities in Published Alopecia Quality of Life Studies
Black patients are underrepresented in alopecia research, highlighting the need for more inclusive studies.
research Modified basic and specific (BASP) classification for pattern hair loss
The modified hair loss classification is more detailed but less user-friendly.
research Folate-cyclodextrin Conjugate for Targeted Chemotherapy
The folate-cyclodextrin conjugate targets cancer cells more precisely, potentially reducing chemotherapy side effects.
research Trichoscopic Features of Scalp Discoid Lupus Erythematosus versus Lichen Planopilaris: A Systematic Review
Trichoscopy helps distinguish between scalp Discoid Lupus Erythematosus and Lichen Planopilaris for accurate diagnosis and treatment.
research K6/ODC transgenic mice as a sensitive model for carcinogen identification
K6/ODC transgenic mice are effective for quickly identifying cancer-causing chemicals.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research A Simple Decision Tree Suited for Identification of Early Oral Drug Candidates With Likely Pharmacokinetic Nonlinearity by Intestinal CYP3A Saturation
The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
research Three-dimensional modelling of interchain sequence similarities and differences in the coiled-coil segments of keratin intermediate filament heterodimers highlight features important in assembly
Keratin heterodimers are preferred for their specific and structural advantages.
research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
Machine learning can predict stress-related hair loss and suggest prevention tips.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research An in silico approach to the identification of potential proteomic and genomic diagnostic biomarkers for primary cicatricial alopecia
Certain genes and proteins may help diagnose and treat primary cicatricial alopecia.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research CD34 and BerEP4 Are Helpful to Distinguish Basaloid Tricholemmoma From Basal Cell Carcinoma
BerEP4 and CD34 staining can help tell apart tricholemmoma from basal cell carcinoma.
research A hair-follicle reconstructed in vitro immunocompetent skin model for prediction of the sensitizing potential of chemicals
The new skin model can predict how chemicals might cause skin allergies.
research Polarized microscopy in genetic hair disorders: case series
Polarized microscopy helps identify hair irregularities in genetic disorders.