research Application of 3D Reflectance Confocal Microscopy: Melanocytic Proliferations as 3D Models; JAAD Supplemental Material
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
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690-720 / 1000+ resultsresearch FORENSIC DNA PHENOTYPING FOR CRIMINAL IDENTIFICATION
Forensic DNA phenotyping can now predict more physical traits and ancestry from DNA, but further improvements are needed.
research Discordant phenotype in monozygotic twins with mosaic trisomy 12p in lymphocytes
Identical twins had different symptoms because one had more cells with an extra chromosome fragment in different tissues.
research Identification of a Novel Three-immunogene Diagnostic Signature for Alopecia Areata
A new diagnostic model can help better diagnose and understand Alopecia Areata.
research Steroid 5α-reductase 2 deficiency leads to reduced dominance-related and impulse-control behaviors
Mice lacking steroid 5α-reductase 2 show less aggression and better impulse control.
research Di-Genic Inheritance in Genodermatoses: Insights from Two Consanguineous Cases in a Reference Lebanese Center within the Middle East and North Africa (MENA) Region
A new genetic model may improve treatment and diagnosis for certain inherited skin diseases.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research Distinguishing Mouse Strains by Proteomic Analysis of Pelage Hair
Proteomic analysis can identify genetic differences in mouse hair, helping understand hair defects and variations.
research Mathematical model for alopecia areata
The model showed that immune system guardians and the cytokine interferon-γ are key in alopecia areata progression.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research Przewidywanie cech wyglądu człowieka na podstawie markerów DNA do celów medyczno-sądowych i kryminalistycznych
DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Regulatory mutations in TBX3 disrupt asymmetric hair pigmentation that underlies Dun camouflage color in horses
Mutations in TBX3 cause horses to have more even hair color instead of Dun camouflage.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Experiences of discrimination during pregnancy predict altered neonatal hair cortisol at birth
Discrimination during pregnancy affects newborn stress hormone levels.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Pharmacophore and Atom Based 3D QSAR Studies on the Novel 5-Alpha-Reductase Inhibitors
The developed model can predict effective 5-alpha-reductase enzyme inhibitors.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
research A proposal for a new design: the exposure–crossover design
The "exposure–crossover design" helps assess individual changes in risk after events like car crashes.
research Polarized Versus Diffractive Microscopy in Distinguishing Scarring From Non‐Scarring Alopecia
Polarized light microscopy is better at distinguishing scarring from non-scarring alopecia than diffractive microscopy.
research 1451 THE ASSOCIATION BETWEEN MALE PATTERN BALDNESS AND SECOND TO FORTH FINGER RATIO WITH PROSTATE CANCER- A PROSPECTIVE COHORT STUDY
Male pattern baldness may predict prostate cancer risk.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Forensic DNA Phenotyping: Male Pattern Baldness: Traditional Review
DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
research A polygenic mouse model of psoriasiform skin disease in CD18-deficient mice.
CD18-deficient mice developed psoriasis-like skin disease, useful for studying inflammatory skin disorders.
research Predictive Skin Permeation of Ethinylestradiol,α-Asarone,Finasteride and Risperidone
The Potts-Guy model best predicts skin permeability for the tested drugs.
research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.