research Bilateral Xen is Used as Minimally Invasive Glaucoma Surgery for Glaucoma in GAPO Syndrome: Case Report
Minimally invasive glaucoma surgery can effectively manage glaucoma in GAPO syndrome when other treatments fail.
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330-360 / 1000+ resultsresearch 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 Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms
The new automatic tool accurately measures hair thickness and is reliable.
research Advanced Scalp Measurement Using a Phototrichogram With a Protractor and Tapeline
The document concludes that using a phototrichogram with a protractor and tapeline is a reliable and noninvasive way to measure hair loss.
research Hair color digitization through imaging and deep inverse graphics
A new method accurately captures and renders hair color for virtual reality and hair dye use.
research The Laxometer: increasing the safety of hair transplants that use a large number of grafts
The Laxometer helps make hair transplants with many grafts safer.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research Hair removal evaluated with a filterless flashlamp‐based system: a preliminary study in 10 patients
The filterless flashlamp-based system effectively delays hair regrowth and improves skin condition.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Gap junctions in Turing-type periodic feather pattern formation
Gap junctions help control feather pattern formation by enabling cell communication.
research Geometric classification of scalp hair for valid drug testing, 6 more reliable than 8 hair curl groups
A 6-group hair classification is more reliable for drug testing than an 8-group system.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research 498 A Multi-Omics Approach to create a Human Hair Atlas for healthy and AGA models
The research aims to better understand hair follicle regulation and find new treatments for hair loss.
research Automatic alignment of double optical paths in excimer laser amplifier
Researchers created a system that accurately aligns laser beams automatically.
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.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research Quantitative image analysis for hereditary hair disorders
research Investigation of Glypican-4 and -6 by Infrared Spectral Imaging during the Hair Growth Cycle
Infrared spectral imaging can effectively study protein distribution in hair follicles during hair growth.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Quantitative assessment of female pattern hair loss
Computer-aided imaging system helps measure balding area in female pattern hair loss.
research Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia
Model improves accuracy in predicting hair loss effects.
research A highly sensitive MEMS silicon‐hair device reproducing the function of hair follicle
The device mimics human hair follicles and detects tiny forces and moments with high sensitivity.
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 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 Graft Quality Index: A Morphologic Classification of Follicular Unit Excision (FUE) Grafts
The Graft Quality Index grades hair transplant grafts to predict placement difficulty and surgery results.
research Rapid and Accurate Digital Measurement of the Recipient Area in Hair Transplantation Using a Tablet Application
The SketchAndCalc app is a faster and more precise method for measuring hair transplant areas than traditional grid counting.
research RGB video microscopic system for in-vitro monitoring of optical properties of hair shaft and follicle
The system helps monitor hair properties using RGB video microscopy.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Primary Proca hair and the double-peak optics of black holes
Black holes with primary Proca hair can have unique shadows with inner rings, affecting how we observe them.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.