research Observations of root hair patterning in soils: Insights from synchrotron-based X-ray computed microtomography
Root hairs in maize grow mainly in air-filled pores, limiting their role in nutrient uptake and plant anchorage.
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research Module-based complexity formation: periodic patterning in feathers and hairs
The conclusion is that understanding how feathers and hairs pattern can help in developing hair regeneration treatments.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
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.
research ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Design and characterization of AgVO3-HAP/GO@PCL ceramic-based scaffolds for enhanced wound healing and tissue regeneration
AgVO₃-HAp/GO@PCL scaffolds improve wound healing and tissue regeneration effectively.
research Proteomic Characterization of Damaged Single Hairs Recovered after an Explosion for Protein-Based Human Identification
Explosions don't stop hair proteins from being used to identify people.
research Needle Transportable Semi-Automatic Hair Follicle Implanter and Image-Based Hair Density Estimation for Advanced Hair Transplantation Surgery
A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.
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 Eficacia del aceite esencial de Neem sobre la piel y pelaje de gatos con dermatofitosis
Neem oil effectively improves skin and coat conditions in cats with dermatophytosis.
research Characterisation of Myotonic Dystrophy type I cell models and drug evaluation by a cell- based quantification platform.
Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Next-Generation Skin Regeneration: Multicellular 3D Bioprinting and Biomimetic Bioinks for Advanced Cutaneous Reconstruction
3D bioprinting advancements are improving skin regeneration for wound healing and personalized reconstruction.
research Cell-Based Model Systems for Validation of Various Efficacy-Based Claims for Cosmetic Ingredients
Cell-based models help test if cosmetic ingredients really work for hair growth and skin health.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
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 Analysis of modern approaches to hair care: An overview of products and techniques
Personalized hair care plans are essential for healthy hair.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
research A marine protein-based dietary supplement for subclinical hair thinning/loss: Results of a multisite, double-blind, placebo-controlled clinical trial
The supplement helps improve hair growth and reduce hair shedding.
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 Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research Fabrication and Characterization of Electrospun Membranes Based on “Poly(ε-caprolactone)”, “Poly(3-hydroxybutyrate)” and Their Blend for Tunable Drug Delivery of Curcumin
The PCL/PHB blend allows for slower, more controlled curcumin release than individual polymers.
research Formulation and Evaluation of PLGA Nanoparticulate-Based Microneedle System for Potential Treatment of Neurological Diseases
The microneedle system shows promise for non-invasive brain drug delivery.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research Multiphoton microscopic imaging of in vivo hair mouse skin based on two‐photon excited fluorescence and second harmonic generation
Multiphoton microscopy effectively images mouse skin layers and structures.
research Establishment and validation of a hair fall atlas for Chinese men based on trichoscopy
A new tool helps better assess and treat hair loss in Chinese men.
research Research Techniques Made Simple: Optical Clearing and Three-Dimensional Volumetric Imaging of Skin Biopsies
3D imaging of skin biopsies offers better accuracy but is time-consuming and can't clear melanin.
research Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions
AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.