research Modeling Dynamic Hair as a Continuum
The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
Search
for
Sort by
Research
150-180 / 1000+ resultsresearch Nerve cells and nervous systems: an introduction to neuroscience
Neurons and synapses are key to brain function and learning.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
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 LB890 Cyclic hair growth requires spatiotemporal heterogeneity in hair follicle signaling network
Hair growth cycles need varied signals in space and time.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model successfully simulates human hair growth and patterns, including hair loss types.
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.
research In vitro interactions between sensory nerves, epidermis, hair follicles and capillaries in a tissue‐engineered reconstructed skin
The model effectively studies how sensory nerves interact with skin components, aiding research on wound healing and hair growth.
research A modular modeling approach for investigating wool critical buckling from biologically variable along-fiber microstructure
The model helps understand how wool fiber structure affects its strength and flexibility.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model accurately simulates human hair growth and hair loss patterns.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
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 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 Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation
Pattern mode isolation improves the reliability and predictability of Turing patterns.
research A Composite Model for the Transport of Hydrophilic and Lipophilic Compounds Across the Skin: Steady-State Behavior
The model better predicts how water-loving and fat-loving substances move through the skin by including tiny pores and hair follicle paths.
research Investigating Different Deep learning Models for Classification of Folliculitis
GoogLeNet is the best model for identifying folliculitis.
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 3D-Hautmodelle von Patienten mit Small Fiber Neuropathie
A protocol was developed to create 3D skin models from adult diseased cells to study Small Fiber Neuropathy.
research The cycling hair follicle as an ideal systems biology research model
The hair follicle is a great model for research to improve hair growth treatments.
research Double Network Physical Crosslinked Hydrogel for Healing Skin Wounds: New Formulation Based on Polysaccharides and Zn2+
The new hydrogel with zinc and polysaccharides improves wound healing and has antibacterial properties.
research Notes on the internet
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 The impact of therapies for male pattern baldness: protocol for a network meta-analysis study
The study aims to find the most effective treatments for male pattern baldness.
research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Methods for Treating Androgenic Alopecia by Restoration of Morphogenetic Field Connectivity in Hair Follicle Networks
Restoring communication in hair follicle networks may treat hair loss and improve sexual dysfunction.
research Modeling the pharmacodynamics of nandrolone doping drug and implications for anti‐doping testing
The document concludes that finasteride can reduce nandrolone detection in doping tests, suggesting frequent testing and setting metabolite level thresholds for detection.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research The mind-body problem; three equations and one solution represented by immaterial-material data
The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.