research Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes
The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
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research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
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 Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
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 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 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 Systematic Literature Review on Troubleshooting Delivery of Production Product Using n-Vehicle with Vogel Total Difference Approach Method
The Vogel Total Difference Approach Method helps reduce shipping costs in production delivery.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Interactive analysis of single-cell trajectories in 3D space with Cell Journey
Cell Journey is a tool for better 3D visualization of cell changes over time.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Central Centrifugal Cicatricial Alopecia (CCCA): Unraveling the Complexities of a Scarring Hair Disorder
CCCA is a scarring hair disorder mainly affecting people of African descent, needing better awareness and treatment.
research Azimuthal Scattering from Elliptical Hair Fibers
Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
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 Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
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 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 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 BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
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 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 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 Scattering from Elliptical Hair Fibers Based on Microfacet Theory
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
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 Validation of alopecia coding in US claims data among women of childbearing age
The algorithm accurately identified alopecia in women of childbearing age using claims data.