research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
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research Optimal Hair Transplant Recipient Site Slit Design: Minimizing Vascular Damage
Semiconical blades and coronal slits minimize vascular damage in hair transplants.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
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 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 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 Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
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 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.
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 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 Squamous epithelial proliferation induced by walleye dermal sarcoma retrovirus cyclin in transgenic mice
The Walleye dermal sarcoma virus cyclin causes excessive skin cell growth in mice.
research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Long-term live imaging of theDrosophilaadult midgut reveals real-time dynamics of cell division, differentiation, and loss
Researchers can now observe live cell processes in the Drosophila midgut for extended periods.
research Scalp reconstructive flaps
Choose the simplest, most fitting scalp reconstruction method for each patient's unique needs.
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 study of serial vertical sectioning of scalp biopsies to increase the histological diagnostic yield in alopecias
Cutting scalp biopsies in consecutive slices improves diagnosis of hair loss conditions.
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 Optimasi proses pencampuran krim anti androgenetic alopecia ekstrak saw palmetto [serenoa repens] dengan perbandingan kecepatan putar dan lama pencampuran : aplikasi desain faktorial
research The palette of techniques for cell cycle analysis
New techniques improve understanding of cell cycle dynamics at the single-cell level.
research Exact, time-independent estimation of clone size distributions in normal and mutated cells
A new method accurately estimates clone sizes in cells without considering time.
research Supplementary figure S2
research A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
research Drug Discovery Insights from a Computational QSAR Study on Alpha-Reductase Inhibitors and Layered Double Hydroxides Electrocatalysts
Computational techniques can improve drug development for treating certain conditions.
research Reducing Surgical Time: An Innovative and Versatile Instrument for Creating Multiple Brick-Pattern Sagittal Recipient Sites in a Single Stroke
A new tool makes hair transplant surgeries faster by creating multiple cuts in one go.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT provides precise hair regrowth measurement from scalp photos.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research Simulation Guided Hair Dynamics Modeling from Video
The method improves hair animation from video by combining image techniques and simulations.
research A computational modelling framework to quantify the effects of passaging cell lines
Cell characteristics change with passage numbers, affecting experiment results.