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.
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research Patched-assoziierte Tumoren: Modifikatorgene und Pathogenese
The document concludes that the development of certain tumors is influenced by genetic background and that a specific gene modification can lead to tumor regression and reduced growth.
research Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Multi-thresholding is the best method for separating hair from skin in laser hair removal.
research Determining Costs-Returns Profitability In Honey Marketing In Cross River State, Nigeria
Honey marketing in Cross River State, Nigeria, is profitable but faces challenges like high transport costs and poor infrastructure.
research Molecular modeling of hair keratin/peptide complex: Using MM‐PBSA calculations to describe experimental binding results
Electrostatic interactions mainly stabilize the binding of peptides to hair keratin.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research Features of the relationship of need and readiness in human activity
People act on needs when they mentally accept and are ready, influenced by internal and external factors.
research GENOTYPE ? PHENOTYPE CORRELATIONS IN CUTANEOUS MELANOMA PATIENTS CARRIER OF THE MITF p.E318K PATHOGENIC VARIANT
MITF+ melanoma patients are more likely to have multiple melanomas and unique skin patterns.
research Consumer Acceptance and Market Potential of Natural Organic Cosmetic Formulations in the US Market
Natural organic cosmetics with high natural content and patent labeling are popular and profitable in the US market.
research Drug Repositioning: New Opportunities for Older Drugs
Finding new uses for existing drugs is promising and can lead to safer, more effective medicines.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Microphthalmic-associated transcription factor integrates melanocyte biology and melanoma progression.
Mitf plays a key role in melanoma progression and is linked to disease stage.
research C57BL/6 마우스 모델에서 웅지(곰기름)의 모발 성장 촉진 효과 연구
Bear oil promotes hair growth and increases hair density.
research Identification of a Novel MPL Loss of Function Mutation in a Patient with Cyclic Thrombocytopenia and Characterization of This Syndrome
A new gene mutation may cause cyclic thrombocytopenia by affecting platelet production.
research Androgenetic alopecia in the stump-tailed macaque: an important model for investigating the pathology and antiandrogenic therapy of male-pattern baldnessp
research C57BL/6 마우스 모델에서 복합 한약추출물의 모발성장 촉진효과
The complex oriental medicine extract was as effective as minoxidil for hair regrowth in mice without adverse effects.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Continuous Dynamics of The Hair Follicle: Spiral Model for Understanding Follicular Activity Throughout Life
The Spiral Model helps understand hair growth changes with age and identify hair problems early.
research Differential Expression of MITF, WNT3A, SLC7A11, and EDN3 in the Shoulder ‘Bider Marking’ of Dun Mongolian Horses
MITF and WNT3A are key in Dun Mongolian horse pigmentation.
research A novel mutation in Hr causes abnormal hair follicle morphogenesis in hairpoor mouse, an animal model for Marie Unna Hereditary Hypotrichosis
A new mutation in the Hr gene causes hair loss in mice, similar to a human hair disorder.
research 1430 Modeling the onset of senescence associated secretory phenotype predicts therapeutic targets
The research found that blocking a gene called NEMO can potentially prevent harmful effects of aging at the cellular level.
research Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
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.
research Decision letter: Intercellular propagation of extracellular signal-regulated kinase activation revealed by in vivo imaging of mouse skin
ERK activation spreads between cells in mouse skin, linked to cell division and influenced by TPA and EGF receptors.
research Forensic DNA Phenotyping: Male Pattern Baldness: Traditional Review
DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.
research Voltammetric detection with a comprehensive electrochemistry study of minoxidil using nuclear magnetic resonance and infrared analyses: Applications in the forensic and pharmaceutical fields
A new, quick method accurately detects minoxidil in drugs and cosmetics.
research CHROMALENS PRECISION MAPPING AS AN INNOVATIVE SYSTEM FOR MICROZONAL HAIR ANALYSIS: STRUCTURE, ALGORITHM, AND COMPARISON WITH CLASSICAL COLORING TECHNIQUES
ChromaLens offers more precise and stable hair coloring than traditional methods.
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 Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.