research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
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research Coils & Curls: A Mathematical Tapestry of Black Hair
Black hair's diversity in patterns and textures is influenced by follicle shape and keratin, and it holds cultural, artistic, and mathematical significance.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research A Small Deletion Hotspot in the Type II Keratin GenemK6irs1/Krt2-6gon Mouse Chromosome 15, a Candidate for Causing the Wavy Hair of the Caracul (Ca) Mutation
The mK6irs1/Krt2-6g gene likely causes wavy hair in mice.
research Quantitative morphometric analysis of hair follicles in alopecia areata
Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research An Atlas of Hair Pathology with Clinical Correlations
The book helps doctors better understand and treat hair disorders due to gaps in their training.
research Update on Forelock Approach of Hair Transplantation
The forelock approach in hair transplants improves natural appearance by focusing hair density in one area.
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 Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate Cancer
The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
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 Optimization of ultrasound-assisted extraction of bioactive compounds from Carthamus caeruleus L. rhizome: Integrating central composite design, Gaussian process regression, and multi-objective Grey Wolf optimization approaches
research TRICHOSCOPY IN ALOPECIA AREATA : A SUPER TOOL FOR DIAGNOSIS
Trichoscopy is a cost-effective and non-invasive tool for diagnosing alopecia areata.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research Follicular Map: A Novel Approach to Quantitative Trichoscopy
The new Follicular Map method could help assess hair treatment effectiveness but has some limitations.
research Visualization of individual cell division history in complex tissues
The tool iCOUNT helps understand how stem cells divide and affect tissue development and repair.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Label-Free Automated Cell Tracking: Analysis of the Role of E-cadherin Expression in Collective Electrotaxis
E-cadherin is important for cell movement in electric fields, and the new tracking method works well.
research Multiscale Morphological Reconstruction for Hair Removal in Dermoscopy Images
The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
research Balancing Benefits and Limitations of Artificial Intelligence in Cosmetic Surgery
AI improves cosmetic surgery but requires ethical and legal oversight to ensure safe use.
research AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Comparative study of follicular unit yield in elliptical versus trapezoid donor strip in hair transplantation
Trapezoid donor strips give more hair follicles than elliptical ones in hair transplants.
research Cross-section trichometry, a clinical tool for assessing the progression and treatment response of alopecia
Cross-section trichometry is an accurate method to measure hair loss and growth.
research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research A highly resistant structure between the cuticle and the cortex of human hair. II . CARB , a penetration barrier
CARB is a strong barrier in human hair that prevents dye penetration.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.