research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
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research NUMERICAL DESCRIPTOR COMPUTATION OF ALOPECIA DRUGS USING COM – POLYNOMIAL
Numerical methods help analyze alopecia drugs' properties effectively.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
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 Some progress in global existence of solutions to a higher-dimensional chemotaxis system modelling Alopecia Areata
The system can have a stable solution under certain conditions, helping understand hair loss in Alopecia Areata.
research A Concentric Method for Mini-Micrografting Extensively Bald Patients
The concentric mini-micrografting method is effective for extensive baldness, creating a natural look and efficiently using donor hair.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
research Understanding hair disorders through artificial intelligence: DALLE's role in image creation
DALL-E 2 can create realistic hair images but struggles with specific hair disorders.
research An algorithm for the diagnosis of female hair loss
The algorithm can effectively diagnose different types of female hair loss with proper history, examination, and tests.
research Bayesian Hidden Markov Modelling of Blood Type Distribution for Covid-19 Cases Using Poisson Distribution
Blood type affects COVID-19 infection rates differently in Europe and Africa.
research Central Centrifugal Cicatricial Alopecia (CCCA)
CCCA is a common hair loss condition in African American women, often inherited and influenced by hairstyling, with unique scalp features detectable by special tools.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research New Donor Excision Design for Better Hair Alignment in Hair Restoration Surgery
The new triangular flag-shaped design for incisions in hair transplant surgery provides better hair alignment and cosmetic appearance without extra scarring, especially for patients with specific hair directions.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Hair Transplantation: The Punch Graft Technique
The punch graft technique effectively redistributes hair to cover bald areas.
research Congenital triangular alopecia: A close mimicker of alopecia areata
CTA is often mistaken for AA but doesn't respond to steroids and may require hair transplantation.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata
Examining hair shape can help predict Alopecia Areata's progression.
research A Comparative Study on the Application of Robotic Hair Restoration Technology Versus Traditional Follicular Unit Excision in Male Androgenetic Alopecia
Robotic hair transplants are easier and quicker to learn than traditional methods.
research The HoVert technique: a novel method for the sectioning of alopecia biopsies
The HoVert technique is a simple, cost-effective new method that improves alopecia diagnosis by allowing detailed analysis from a single biopsy.
research PROFESSIONAL TRAINING OF BARBERS TO WORK WITH ALOPECIA CLIENTS: EDUCATIONAL MODULE MODEL WITH TRICHOLOGY AND PSYCHOLOGY ELEMENTS
Barbers trained in hair loss can better support and refer clients with alopecia.
research 284 Deciphering the pathogenesis of central centrifugal cicatricial alopecia
CCCA in women of African ancestry may be caused by PADI3 gene mutations and intense hair grooming.
research Rapid Formation of Cell Aggregates and Spheroids Induced by a “Smart” Boronic Acid Copolymer
A boronic acid copolymer quickly forms cell clusters, useful for tissue and tumor modeling.
research Elliptical Donor Stereoscopically Assisted Micrografting as an Approach to Further Refinement in Hair Transplantation
This hair transplant method improves cosmetic results for hair loss.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.