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Research 61–90 of 1000+
- Covid-19, Diagnostic History and Mortality from Medicare 1999-2021, In an All-Cause Mortality Approach
- The exploration of mitochondrial‐related features helps to reveal the prognosis and immunotherapy methods of colorectal cancer
- Detection of Serum Levels of Interleukins-17, 21, 6 and Tumor Necrosis Factor-α in Patients with Patchy Alopecia Areata and Their Association with Disease Severity
- InCISE: Instrument for Comprehensive Incisional and Surgical Evaluation
- A disproportionality analysis of adverse events caused by pexidartinib from the FDA adverse event reporting system
- Inheritance-Specific Dysregulation of Th1- and Th17-Associated Cytokines in Alopecia Areata
- Comprehensive Genomic Profiling of Cutaneous Adnexal Carcinomas: A Genomic Landscape Study
- Beta-trace protein in chronic inflammatory demyelinating polyradiculoneuropathy and Guillain-Barré syndrome – clinical utilization and a new insight into pathophysiological mechanisms
- Active Antialopecia Chemical Identification of Merremia peltata Leaves and Computational Study toward Androgen Receptor Using Molecular Docking and Molecular Dynamic Simulation
- Prediction of male-pattern baldness from genotypes
- Prediction of Long-term Scalp Hair Regrowth at 24 Months in Patients with Alopecia Areata Receiving Ritlecitinib Treatment in the ALLEGRO Clinical Trial Program
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Development of predictive regression model for perceived hair breakage in Indian consumers
- Pigmented vellus and upright regrowing hairs as the only predictive trichoscopic markers of hair regrowth in alopecia totalis and universalis
- In silico prediction of prostaglandin D2 synthase inhibitors from herbal constituents for the treatment of hair loss
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Predicting Quality of Life from Symptom Experience and Symptom Management Behaviors in Women with Ovarian Cancer Receiving Chemotherapy: A Cross-Sectional Study.
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Evaluation of the predictive capacity of DNA variants associated with straight hair in Europeans
- In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
- Influence of sex and functional status on the value of serum steroid profiling in discriminating adrenocortical carcinoma from adrenocortical adenoma
- A hair-follicle reconstructed in vitro immunocompetent skin model for prediction of the sensitizing potential of chemicals
- The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata
- Burden of immune-related skin diseases worldwide, 1991–2021: insights and prediction from the Global Burden of Disease Study
- Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
- Vertical vs. transverse sections of scalp biopsy specimens: a pilot study on the comparison of the diagnostic value of two techniques in alopecia
- Clinical aspects of the metabolic syndrome
- Molecular evolution of HR, a gene that regulates the postnatal cycle of the hair follicle
- Evaluating statistics in clinical trials: Making the unintelligible intelligible
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response