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- Diagnostic Performance of the Trichogram Compared to Histopathology of Scalp Biopsy in horizontal sections in Female Androgenetic Alopecia: A Retrospective Study
- The Performance of Glycated Hemoglobin vs. Oral Glucose Tolerance Test in the Diagnosis of Glycemic Disorders among Women with Polycystic Ovary Syndrome in Southern Iraq
- Receiver operating characteristic analysis of the performance of basal serum hormone profiles for the diagnosis of polycystic ovary syndrome in epidemiological studies
- 5ARIs and PSA: Evidences
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Performance of an interferon-γ release assay-based test for cell-mediated immunity to SARS-CoV-2
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
- Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
- COMPARAÇÃO ENTRE HPLC E IMUNOTURBIDIMETRIA PARA DOSAGEM DE HEMOGLOBINA GLICADA (A1C) COMO CRITÉRIO DIAGNÓSTICO DE DIABETES MELLITUS
- The Hyperandrogenism in Female Athletes: When Dermatological Signs Become an Endocrine and Sports Medicine Challenge
- IsoPSA Performance Characteristics are Unaffected by 5-Alpha Reductase Inhibitors or Alpha-Blockers: Results From the IsoPSA Validation Study
- Simultaneous Determination of Selected Steroids with Neuroactive Effects in Human Serum by Ultrahigh-Performance Liquid Chromatography–Tandem Mass Spectrometry
- A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- CD27 and IL-35 as diagnostic biomarkers in alopecia areata: First evidence of association with pathogenic scalp bacterial infections
- Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
- A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
- An Expert System for Hair Loss Diagnosis and Treatment Using CLIPS
- A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
- Green and Emerging Microextraction Strategies for Bioanalytical Determination of Hormones: Trends, Challenges, and Applications
- Beyond Perceived Stress: Hair Cortisol is linked with Cognition and Fatigue in Black and White Patients with Multiple Sclerosis
- A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
- Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
- Polarized Versus Diffractive Microscopy in Distinguishing Scarring From Non‐Scarring Alopecia
- Using morphological operators and inpainting for hair removal in dermoscopic images
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Alopecia in Female Athletes Using Androgenic and Anabolic Steroids: Pathophysiology and Management
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification