research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
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990-1000 / 1000+ resultsresearch An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Determination of traces of silver in human scalp hair slurries by electrothermal atomic absorption spectrometry
research X-ray diffraction study of the nanostructural dynamics of fibrillar systems of hair tissue
Hair tissue can help monitor environmental and public health risks.
research NEW DEVELOPMENTS IN DERMOSCOPIC FEATURES OF ALOPECIA AREATA
Trichoscopy is crucial for diagnosing alopecia areata by identifying specific hair features.
research A highly sensitive MEMS silicon‐hair device reproducing the function of hair follicle
The device mimics human hair follicles and detects tiny forces and moments with high sensitivity.
research Plucked hair follicles from patients with chronic discoid lupus erythematosus show a disease-specific molecular signature
Plucked hair follicles can help diagnose scalp lupus.
research Suitability of hair type for dermatophytes perforation and differential diagnosis of T. mentagrophytes from T. verrucosum
Human black hair is best for distinguishing between T. mentagrophytes and T. verrucosum.
research SKIN SURFACE CHEMISTRY AS A DIAGNOSTIC TOOL FOR SKIN DISEASES
Skin surface chemistry and OCT can improve skin disease diagnosis.
research Sulfotransferase activity in plucked hair follicles predicts response to topical minoxidil in the treatment of female androgenetic alopecia
Sulfotransferase in hair follicles helps predict how well minoxidil works for female hair loss.