research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
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570-600 / 1000+ resultsresearch Dermoscopy of alopecia areata in restrospective analysis
Yellow dots are common in severe alopecia areata.
research A girl with loose anagen hair syndrome and concurrent uncombable hair syndrome
A girl had two rare hair conditions that helped understand their overlap.
research 198 Reliable and interpretable segmentation for remote assessment of atopic dermatitis severity using digital images
The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Recalcitrant Female Pattern Hair Loss Like Alopecia Unveils Unexpected Rare Entity
Genetic testing is crucial for diagnosing rare hair loss disorders.
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 Hair cross-sectioning in uncombable hair syndrome: An easy tool for complex diagnosis
The document suggests finding a simpler, cheaper way to diagnose Uncombable Hair Syndrome.
research Nonviral in Situ Green Fluorescent Protein Labeling and Culture of Primary, Adult Human Hair Follicle Epithelial Progenitor Cells
A nonviral method was developed to label and culture human hair follicle stem cells.
research Index of Suspicion
The document's conclusion cannot be summarized because the content is not available to parse.
research 139 Identification of long noncoding RNAs in mouse hair follicle stem cells using computational methods
Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Evaluating anti-LGBTQIA+ medical bias in large language models
Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
research Social Interest Data as a Proxy for Off-Label Performance-Enhancing Drug Use: Implications and Clinical Considerations
Clinicians should use social and prescription data to track trends in performance-enhancing drug use.
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Foundations of Bayesian Networks
Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
research Patterns of coverage. Uniform versus graded density.
The uniform density approach in hair restoration is less noticeable in situations like wind or exercise.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research A BIOCHEMICAL MARKER IN A DOMINANT MOUSE TRAIT
The Naked (N) trait in mice is linked to lower glycine and tyrosine in hair proteins.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research Vitadetect : Vitamin Deficiency Detection
VitaDetect uses AI to find vitamin deficiencies by analyzing images of nails, tongue, and skin.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Drug repurposing can speed up and reduce costs in drug discovery, especially for cancer treatment.
research Marie‐Unna Hereditary Hypotrichosis: Case Report and Review of the Literature
An 18-year-old girl was diagnosed with a rare hereditary hair loss condition, despite no family history.
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.