research Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Multi-thresholding is the best method for separating hair from skin in laser hair removal.
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30 / 1000+ resultsresearch เครองมอประมวลผลภาพดจทลสำหรบวดขอมลของเสนผมบนหนงศรษะของผปวยโรคผมบางทางพนธกรรม
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Single-cell analysis of murine fibroblasts identifies neonatal to adult switching that regulates cardiomyocyte maturation
Adult fibroblasts help heart cells mature and improve heart function.
research Biocomposite nanofiber matrices to support ECM remodeling by human dermal progenitors and enhanced wound closure
The nanofiber scaffolds improved skin wound healing by supporting cell growth and tissue repair.
research Dissection of genetic variation and evidence for pleiotropy in male pattern baldness
Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.
research The effects of minoxidil, 1% pyrithione zinc and a combination of both on hair density: a randomized controlled trial
Minoxidil and pyrithione zinc combo most effectively increases hair density.
research Novel skin patch combining human fibroblast-derived matrix and ciprofloxacin for infected wound healing
The new skin patch with human matrix and antibiotic improves wound healing.
research Novel TMEM173 Mutation and the Role of Disease Modifying Alleles
A new mutation in the STING protein causes a range of symptoms and its severity may be affected by other genetic variations; treatment with a specific inhibitor showed improvement in one patient.
research Network-Based Drug Repositioning: Approaches, Resources, and Research Directions
The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
research Polarity signaling ensures epidermal homeostasis by coupling cellular mechanics and genomic integrity
Par3 protein is essential for skin cell balance and stability.
research Minoxidil improves vascular compliance, restores cerebral blood flow, and alters extracellular matrix gene expression in a model of chronic vascular stiffness
Minoxidil improves blood flow and vessel flexibility, potentially helping with vascular stiffness.
research Trichoscan: What Is New?
Trichoscan is a reliable method for measuring hair growth and monitoring treatment effectiveness in hair loss.
research Altered resting-state activity in seasonal affective disorder
People with Seasonal Affective Disorder have different brain activity in certain areas when resting.
research The structure of the “amorphous” matrix of keratins
Human hair keratin fibers have a detailed nano-scale structure that changes with different conditions.
research Human pollution exposure correlates with accelerated ultrastructural degradation of hair fibers
Pollution exposure speeds up hair damage.
research The metabolic syndrome- associated small G protein ARL15 plays a role in adipocyte differentiation and adiponectin secretion
ARL15 is important for fat cell development and the release of the hormone adiponectin.
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 A Study of the Expression of Small Conductance Calcium-Activated Potassium Channels (SK1-3) in Sensory Endings of Muscle Spindles and Lanceolate Endings of Hair Follicles in the Rat
SK2 channels help control sensory signals in rat muscle spindles and hair follicles.
research Inhibition of 5α Reductase Impairs Cognitive Performance, Alters Dendritic Morphology and Increases Tau Phosphorylation in the Hippocampus of Male 3xTg-AD Mice
Blocking 5α-reductase can harm memory and brain structure, and increase harmful brain changes in male mice used for Alzheimer's disease research.
research Immunofluorescence Tomography: High-resolution 3-D reconstruction by serial-sectioning of methacrylate embedded tissues and alignment of 2-D immunofluorescence images
Immunofluorescence tomography is a cost-effective method for creating detailed 3-D images of tissues.
research Dermal EZH2 orchestrates dermal differentiation and epidermal proliferation during murine skin development
Dermal EZH2 controls skin cell development and hair growth in mice.
research Flow-guided hair removal for automated skin lesion identification
The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
research In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells
The research found that the gene activity in mouse skin stem cells changes significantly as they age.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research Mechanical forces across compartments coordinate cell shape and fate transitions to generate tissue architecture
Mechanical forces are crucial for shaping cells and forming tissues during development.
research Region-specific reversal of epidermal planar polarity in the rosette fancy mouse
Hair follicles in the back of the rosette fancy mouse have reversed orientations due to a gene mutation.
research Donor site of follicular unit excision hair transplantation: the relationship between appearance and actual hair density, and hair diameter
Good-looking donor sites for hair transplants usually have higher hair density and thicker hair.
research AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.