research Developmental Mechanisms Controlling Cell Fate, Evolution of
The conclusion is that grasping how cells determine their roles through evolution is key, with expected progress from new research models and genome editing.
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AI can improve alopecia areata diagnosis with high accuracy.
research An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.
research Biomechanics of hair fibre growth: A multi-scale modeling approach
The model shows that factors like follicle shape and stiffness are key for hair growth and anchoring.
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
Machine learning can predict stress-related hair loss and suggest prevention tips.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research Self-Organizing and Stochastic Behaviors During the Regeneration of Hair Stem Cells
Hair stem cell regeneration is controlled by signals that can explain different hair growth patterns and baldness.
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.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Decision letter: Interplay of opposing fate choices stalls oncogenic growth in murine skin epithelium
Skin cells can naturally limit the growth of cancerous changes by balancing cell renewal and differentiation.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research A model for the turnover of dihydrotestosterone in the presence of the irreversible 5α-reductase inhibitors GI198745 and finasteride
Both drugs lower DHT levels, with GI198745 being more effective.
research Hair keratin molecular dynamics studies
Simulations of hair keratin help improve disease treatment and cosmetic products.
research Development and Qualification of a Physiologically Based Pharmacokinetic Model of Finasteride and Minoxidil Following Scalp Application
The model can help predict how finasteride and minoxidil work when applied to the scalp.
research Pattern formation on regular polygons and circles
Domain shape greatly affects pattern formation.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research IGF2BP2 and IGFBP3 Genotypes, Haplotypes, and Genetic Models Studies in Polycystic Ovary Syndrome
Certain genetic variations in IGF2BP2 and IGFBP3 are linked to a higher risk of PCOS.
research Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
research Development of Universal Flight Trajectory Calculation Method for Unguided Projectiles
A new method accurately predicts the flight path of unguided projectiles.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Author response: Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes
Moles may stop growing because of cell cooperation, not just because of aging cells.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
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 1747 PREDICTION OF BLADDER PROSTATIC OBSTRUCTION: DEVELOPMENT OF A SIMPLIFIED CLINICAL NOMOGRAM
Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
research The role of translation in keratinocyte cell fate determination.
Translation levels actively determine keratinocyte cell fate.
research Abstracts
The model helps improve medical devices by showing how skin deforms under pressure.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research The Pathogenesis of Alopecia Areata in Rodent Models
Alopecia Areata is an autoimmune disease affecting hair follicles, influenced by genetic and environmental factors, with rodent models being essential for research.