research Hair keratin molecular dynamics models
Molecular dynamics simulations help understand keratin's properties and predict hair's response to treatments.
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900-930 / 1000+ resultsresearch Genetic Markers of Male and Female Pattern Hair Loss
Genetic differences in hair loss can help improve diagnosis and treatment.
research The exploration of mitochondrial‐related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer
Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.
research Mutant laboratory mice with abnormalities in hair follicle morphogenesis, cycling, and/or structure: An update
The document concludes that mouse models are crucial for studying hair biology and that all mutant mice may have hair growth abnormalities that require detailed analysis to identify.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research Gradually or immediately? The effects of ad type and fresh start mindset on health persuasion
Ads showing gradual change work better for people less focused on new beginnings, while ads showing immediate change work better for those highly motivated by fresh starts.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
research Association study reveals a susceptibility locus with male pattern baldness in the Han Chinese population
A specific genetic marker is linked to male pattern baldness in Han Chinese men.
research Cardiac biopsy in myocarditis
Some people have a genetic variation that makes them less effective at breaking down drugs.
research Pitfalls of PCR-Based Strategy for Genotyping Cre-Loxp Mice
PCR genotyping in cre-loxP mice can be inaccurate due to unintended gene deletions in non-target tissues.
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 Bioengineering a humanized acne microenvironment model: Proteomics analysis of host responses to Propionibacterium acnes infection in vivo
A new model helps study acne and test treatments.
research BJD Editor's Choice
Some Greek melanoma patients have gene mutations linked to increased cancer risk, a new color feature helps diagnose melanoma, the incidence of a skin condition in the Netherlands is rare, and a gene possibly affects male-pattern baldness.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine
The conclusion is that individual differences in COVID-19 severity are influenced by factors like age, sex, race, and genetics, which are important for personalized medicine.
research Madarosis: A dermatological marker
research The JAK/STAT signaling pathway: from bench to clinic
The JAK/STAT pathway is important in cell processes and disease, and JAK inhibitors are promising for treating related conditions.
research Identifying the Target Cells and Mechanisms of Merkel Cell Polyomavirus Infection
Human dermal fibroblasts are the main cells targeted by a virus that can cause a deadly skin cancer, and a certain inhibitor can effectively block this infection.
research Prioritizing Susceptibility Genes for the Prognosis of Male-pattern Baldness with Transcriptome-wide Association Study
The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research Generation of comparative pharmacophoric model for steroidal 5α-reductase I and II inhibitors: A 3D-QSAR study on 6-azasteroids
The study created a model to help design new inhibitors for steroidal 5α-reductase enzymes.
research Kin‐cohort analysis of LRRK2‐G2019S penetrance in Parkinson's disease
The LRRK2-G2019S mutation in Parkinson's disease has a lifetime penetrance of 25-35%, and finasteride may help reduce symptoms in adult male Tourette syndrome patients.
research Pathology of Mouse Models of Accelerated Aging
Progeroid mouse models show signs of early aging similar to humans, helping us understand aging better.
research Generating detailed intercellular communication patterns in psoriasis at the single-cell level using social networking, pattern recognition, and manifold learning methods to optimize treatment strategies
New insights into cell communication in psoriasis suggest innovative drug treatments.
research Determining the Relationship Among Cattle Genotype, Hair Coat Score, and Productivity Through the Investigation of Single Nucleotide Polymorphisms within Prolactin, Dopamine Receptor D2, and Melatonin Receptor 1A
research Transcriptomic regulation of seasonal coat color change in hares
Genes related to pigmentation, body rhythms, and behavior change during hares' seasonal coat color transition, with a common genetic mechanism in two hare species.
research Polymorphism in the A2M gene associated with high-quality milk in Murrah buffaloes (Bubalus bubalis)
Certain genetic variations in the A2M gene are linked to better milk quality in Murrah buffaloes.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research Amendments to Organizational Theorizing.
Karl E. Weick suggested focusing on everyday events and smaller groups to improve organizational theory and urged the inclusion of nonobvious aspects for better explanations.