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Research 151–180 of 1000+
- Correlation Between Nongenomic Action of C19-Steroids and COVID-19 Severity
- Rotterdam criteria–based diagnostic subtype is not a strong predictor of cutaneous phenotype in patients with polycystic ovary syndrome: A cross-sectional study
- Relationship of Triglyceride Levels and Body Mass Index with Acne Vulgaris Severity in Students of the Faculty of Medicine, Universitas Sumatera Utara
- Chemotoxicity in Carcinoma Breast Patients - Its Incidence and Trends in Severity - An Observational Study
- The degree of premature hair graying as an independent risk marker for coronary artery disease: a predictor of biological age rather than chronological age
- Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
- Serum level of Apelin-12 in acne patients: Is it a marker of disease severity?
- ASSESSMENT OF SERUM LEVELS OF ANTIGLIADIN ANTIBODIES (IgG and IgA) IN PATIENTS WITH ALOPECIA AREATA AND THEIR RELATION TO SEVERITY OF THE DISEASE
- ASSESSMENT OF SERUM LEVELS OF ANTIGLIADIN ANTIBODIES (IGG AND IGA) IN PATIENTS WITH ALOPECIA AREATA AND THEIR RELATION TO SEVERITY OF THE DISEASE
- Peripheral blood gene expression in alopecia areata reveals molecular pathways distinguishing heritability, disease and severity
- Burden of immune-related skin diseases worldwide, 1991–2021: insights and prediction from the Global Burden of Disease Study
- Evaluation of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, mean platelet volume, CRP and ESR with disease severity in patients with alopecia areata
- Comparative Evaluation of Oral Baricitinib and Tofacitinib in Alopecia Areata: A Retrospective Cohort Study Based on SALT Scores
- Molecular Predictors of Ritlecitinib Efficacy in Alopecia Areata: Role of JAK3-Dependent Inflammation and Follicular Integrity
- Proteomic Predictors of Baricitinib Response in Severe Alopecia Areata: CCL11 Flags a Refractory Phenotype
- The prediction of hairfall pattern in a person using artificial intelligence for better care and treatment
- ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
- Factors predicting response to oral methylprednisolone tapering treatment in alopecia areata: A retrospective study
- Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study
- Efficacy and Safety of Topical Corticosteroid Treatment under Occlusion for Severe Alopecia Areata in Children. A single-center retrospective analysis
- An Open-Label Pilot Study to Evaluate the Efficacy of Tofacitinib in Moderate to Severe Patch-Type Alopecia Areata, Totalis, and Universalis
- A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
- Genetic prediction of male pattern baldness based on large independent datasets
- Safety and efficacy of the JAK inhibitor tofacitinib citrate in patients with alopecia areata
- Does Severity of Hair Loss Matter? Factors Associated with Mental Health Outcomes in Women Irradiated for Tinea Capitis in Childhood
- Alopecia areata and vitamin D: Is there any association?
- Objective outcome measures: Collecting meaningful data on alopecia areata
- Comparative Efficacy and Safety of Janus Kinase Inhibitors Used in Alopecia Areata: A Systematic Review and Meta-analysis
- A clinical study on alopecia areata
- Efficacy, safety and dose response of STS01, a topical controlled release nanoparticle formulation (dithranol/Prosilic), in adults with mild to moderate patchy alopecia areata: A randomised, double-blind, multicentre, phase 2 trial