research Prediction of water intake in hair sheep: development of a new model
A new model accurately predicts water intake in hair sheep using dry matter intake.
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90-120 / 1000+ results research Estimating Scalp Moisture in a Hat Using Wearable Sensors
A hat with sensors can measure scalp moisture well, helping with hair care.
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 Defining the identity of mouse embryonic dermal fibroblasts
Researchers identified specific genes that are important for mouse skin cell development and healing.
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 Novel insights into the pathways regulating the canine hair cycle and their deregulation in alopecia X
The study concluded that similar pathways regulate hair growth in dogs and mice, and these pathways are disrupted in dogs with Alopecia X, affecting stem cells and hormone metabolism.
research Hair of the Dog: Identification of a Cis-Regulatory Module Predicted to Influence Canine Coat Composition
Researchers found a genetic region that influences the number of coat layers in dogs.
research rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database
rPanglaoDB helps study rare cell types by merging RNA data, showing fibrocytes aid in healing.
research Identification and characterization of four immune-related signatures in keloid
Four specific genes are linked to keloid formation and could be potential treatment targets.
research A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research Transcriptome meta-analysis reveals the hair genetic rules in six animal breeds and genes associated with wool fineness
Different sheep breeds share similar genetic factors affecting wool fineness.
research A Gender Hypothesis of sex disparities in adverse drug events
Gendered social factors, not just biology, contribute to sex differences in adverse drug events.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Machine Learning Applications for Drug Repurposing
Machine learning helps find new uses for existing drugs, improving healthcare.
research Genomic and transcriptomic landscape to decipher the genetic basis of hyperpigmentation in Lanping black-boned sheep (Ovis aries)
Two genes, ERBB4 and ROR1, may cause the unique pigmentation in Lanping black-boned sheep.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Pharmacophore and Atom Based 3D QSAR Studies on the Novel 5-Alpha-Reductase Inhibitors
The developed model can predict effective 5-alpha-reductase enzyme inhibitors.
research A novel eco-friendly Acinetobacter strain A1-4-2 for bioremediation of aquatic pollutants
Acinetobacter strain A1-4-2 can safely clean water pollutants.
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 Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Mendelian randomization analysis of the causal relationship between low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and androgenic alopecia
Higher LDL cholesterol may increase the risk of hair loss, while HDL cholesterol does not.
research Modeling Oxidative Stress-Linked Telogen Effluvium Using Monte Carlo Simulation of Published Trichoscopy Norms and Cannabis Exposure Distributions
Higher cannabis exposure may lead to increased hair loss.
research Correction to ‘Retinoic acid drives hair follicle stem cell activation via Wnt/β‐catenin signalling in androgenetic alopecia’
The correction does not change the study's main findings.
research Modeling Oxidative Stress–Linked Telogen Effluvium: A Monte Carlo Simulation Using Published Trichoscopy Norms and Cannabis Exposure Distributions
Higher cannabis use may be linked to more severe hair loss.