research Synthesis and Validation of Functional Nanogels as pH-Sensors in the Hair Follicle
Scientists created tiny pH-sensing gels that can safely measure the pH levels inside hair follicles.
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450-480 / 1000+ resultsresearch New ideas on root hair growth appear from the flanks
Root hair growth happens in bursts, not continuously.
research ROS and calcium oscillations are required for polarized root hair growth
ROS and calcium oscillations are essential for root hair growth in plants.
research Recent advances in X-ray microanalysis in dermatology.
Trace elements like calcium, iron, and zinc are unevenly distributed in hair, while sulfur is even, and increased phosphorus and potassium levels are linked to skin reactions.
research Dyeing Your Hair with Graphene
Graphene-based hair dye is a safe, durable, and effective alternative to traditional black hair dyes.
research Three-dimensional architecture and linearized mapping of vibrissa follicle afferents
Large-scale reconstructions enhance understanding of vibrissal sensory mapping in the brain.
research pH STIMULUS-RESPONSIVE HYBRID NANOPARTICLES: A SYSTEM DESIGNED FOR FOLLICULAR DELIVERY OF BRAZILIAN PLANT-DERIVED 5-ALPHA-REDUCTASE ENZYME INHIBITORS
New nanoparticles deliver plant extracts to hair follicles to treat conditions like hair loss and acne.
research Multilayered Gel-Spotting Device for In Vitro Reconstruction of Hair Follicle-like Microstructure
The new method can create hair follicle-like structures but not complete hair with roots and shafts, needing more improvement.
research Apoptotic Cells May Drive Cell Death in Hair Follicles During their Regression Cycle
Apoptotic cells may trigger cell death in hair follicles during their regression cycle.
research 1410 Non-coding double stranded RNA induces retinoic acid synthesis and retinoid signaling to control regeneration
Double-stranded RNA helps regenerate hair follicles by increasing retinoic acid production and signaling.
research Formulation development of drug nanocrystals and nanoparticles for dermal delivery
Nanocrystals and nanoparticles can enhance drug delivery for skin applications by improving solubility and dissolution rates.
research 285 A new scalp treatment for anti-ageing hair
The new scalp treatment preserves hair color, reduces hair loss, and maintains hair strength.
research Determination of finasteride in anti-calvous hair cosmetics by high performance liquid chromatography
A reliable method was developed to measure finasteride in hair products.
research Extracellular ATP in Plants. Visualization, Localization, and Analysis of Physiological Significance in Growth and Signaling
Extracellular ATP is crucial for plant root growth and signaling.
research Moisture as a Plasticity Switch in Blowouts: Glass-Transition Behavior, Viscoelastic Response, and Tension-Defined Shape
Moisture makes hair flexible for reshaping during blowouts.
research Biomaterials for in situ tissue regeneration: development and perspectives
Smart biomaterials that guide tissue repair are key for future medical treatments.
research Stem cell activity shapes the pleiotropic effects of IFN-γ and TGF-β in autoimmune diseases, infections, and cancer, and drives autoimmune flares and remissions
Stem cell activity influences autoimmune disease outcomes by affecting immune responses and tissue regeneration.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
The study introduces MSF-VMDNet, a novel deep learning model designed for multi-class segmentation of skin cancer whole-slide images, addressing the complexity of differentiating 10 distinct tissue classes. This model combines U-Net and Vision Mamba dual encoders to enhance feature extraction and segmentation accuracy. The U-Net encoder uses an improved AFNO spectral decomposition module for high-resolution semantic information, while the Vision Mamba encoder optimizes long-range dependency modeling. The SCConv module fuses features from various frequency domains and spatial levels. MSF-VMDNet outperforms existing methods, achieving an MIoU of 95.37% and a Dice coefficient of 95.11%, and demonstrates strong generalization across multiple datasets.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.
research Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.