research Clinical and Trichoscopic Study of Tinea Capitis versus Alopecia Areata in Pediatric Patients
Dermoscopy can quickly and reliably distinguish Tinea Capitis from Alopecia Areata by identifying specific hair patterns.
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research TRICOSCOPIA – ESTRUTURAS TRICOSCÓPICAS E SUA APLICABILIDADE NAS PATOLOGIAS DO CABELO E DO COURO CABELUDO
Trichoscopy is useful for diagnosing and monitoring hair and scalp conditions.
research PSS33 REAL-LIFE DOSING OF BIOLOGICS IN PLAQUE PSORIASIS—A GERMAN SURVEY
Real-life dosing of biologics for plaque psoriasis often deviates from recommended guidelines, especially for high-need patients.
research Farmácia Sanches - Leiria e nos Serviços Farmacêuticos do Hospital Lusíadas - Porto
Pharmacists play a crucial role in health literacy and patient care.
research Folliculitis decalvans: a case report of satisfactory recovery after implementing isotretinoin therapy
Isotretinoin effectively treated a rare scalp condition, but careful drug monitoring and a dairy-free diet were important.
research Clinical Features and Treatment Options of Vogt-Koyanagi-Harada Disease
Early treatment with corticosteroids and immunosuppressants is crucial for managing Vogt-Koyanagi-Harada disease.
research Tratamiento de la alopecia areata, un recorrido desde las opciones terapéuticas clásicas hasta los nuevos fármacos aparecidos en los últimos años
Alopecia areata is hard to treat, but new targeted therapies show promise.
research Transcriptome analysis to identify the downstream genes of androgen receptor in dermal papilla cells
The study found that androgen receptors in skin cells mainly affect the focal adhesion pathway and control the caveolin-1 gene, with implications for new treatments for related diseases.
research Actinic keratosis: a clinical and epidemiological revision
Actinic keratosis can lead to skin cancer, is more common in fair-skinned people, and can be reduced with sunscreen and treated effectively.
research RSPO1-mutated keratinocytes from palmoplantar keratoderma display impaired differentiation, alteration of cell–cell adhesion, EMT-like phenotype and invasiveness properties: implications for squamous cell carcinoma susceptibility in patients with 46XX disorder of sexual development
RSPO1 mutations in certain patients lead to skin cells that don't develop properly and are more likely to become invasive, increasing the risk of skin cancer.
research Wnt Signaling Is Deranged in Asthmatic Bronchial Epithelium and Fibroblasts
Wnt signaling is disrupted in asthma, affecting cell growth and inflammation.
research Amplicon-based sequencing and co-occurence network analysis reveals notable differences of microbial community structure in healthy and dandruff scalps
Dandruff scalps have unstable microbes, more Malassezia, less Cutibacterium, and targeting Lactobacillus may help.
research Autistic-undisciplined thinking in the practice of medical trichology
The article concludes that treating hair loss requires careful research, understanding the causes, and personalized treatment plans.
research Molecular Morbidity Score–Can MicroRNAs Assess the Burden of Disease?
MicroRNAs could help assess and manage multiple chronic diseases.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research Skin deep: dermatologic challenges in PCOS through the female lifespan
Early identification and personalized treatment of skin issues in PCOS are crucial for better outcomes.
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 Algorithms For Preventive Measures For Disease Prevention And Antioxidant Protection
Understanding genetic traits can help doctors create personalized detox and nutrition plans to boost antioxidant protection.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research Hair loss.
Up to 50% of scalp hair can be lost before it appears thin, and treatment is only needed for hair loss caused by diseases or deficiencies.
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 Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
research Hidradenitis Suppurativa
The document concludes that lifestyle changes and medical treatments can significantly reduce symptoms of Hidradenitis Suppurativa, a chronic skin condition.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research Copy number variation regions in Nellore cattle: Evidences of environment adaptation
Nellore cattle have genetic variations linked to their adaptation to tropical environments.
research A Genetically Defined Male Counterpart of Polycystic Ovary Syndrome: Evidence for Ovarian-Independent Pathogenesis
Men with high genetic risk for Polycystic Ovary Syndrome (PCOS) have increased chances of obesity, type 2 diabetes, heart disease, and hair loss, showing PCOS risk factors can affect both genders.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.