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Research 181–210 of 1000+
- Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
- DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
- Exploring imputation performance of phenotype-associated SNPs for forensic prediction models
- Unraveling Evolutionary Insights into AVT Peptide Conservation and Antimicrobial Motif Prediction Across Taxa
- A hair-follicle reconstructed in vitro immunocompetent skin model for prediction of the sensitizing potential of chemicals
- Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- Identification of N6-Methyladenosine-Related Factors and the Prediction of the Regulatory Mechanism of Hair Follicle Development in Rex and Hycole Rabbits
- Logic-Based Modeling and Drug Repurposing for the Prediction of Novel Therapeutic Targets and Combination Regimens against E2F1-Driven Melanoma Progression
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Serum paroxonase 1 level may be an indicator and predictor of the severity of androgenetic alopecia
- Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
- Analysis of keratin films as screening tools for predicting the efficacy of potential hair dyes
- Pigmented vellus and upright regrowing hairs as the only predictive trichoscopic markers of hair regrowth in alopecia totalis and universalis
- The role of fear of intimacy and loneliness in predicting of academic enthusiasm in medical science students: a cross-sectional study from the Iran
- Evaluating the Role of the Gabrin Sign in Predicting COVID-19 Severity Among Patients with Androgenic Alopecia
- The Use of 2D: 4D Digit Ratio as a Predictor of Androgenetic Alopecia: A Review
- Androgenic alopecia, premature graying, and hair thinning as independent predictors of coronary artery disease in young Asian males
- Rotterdam criteria–based diagnostic subtype is not a strong predictor of cutaneous phenotype in patients with polycystic ovary syndrome: A cross-sectional study
- Sentinel lymph node status is the strongest independent predictor for disease free and overall survival in patients with thick melanoma
- 72676 Dysregulated circulating protein biomarkers are correlative with hair loss and predictive of hair growth in alopecia areata
- 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
- Establishing the financial burden of alopecia areata and its predictors
- The concept of latent social skills in autism and its predictive value for future development
- A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- The pathogenesis model research of alopecia areata: from animal experiments to mathematical prediction models
- The Ratio of Typical Clubbing in Pulled-Out Hairs as a Useful Marker in Predicting the Course of Alopecia Areata
- 644 Tumor cell adhesion as a risk factor for SLN metastasis and predictor of disease recurrence in primary cutaneous melanoma
- The degree of premature hair graying as an independent risk marker for coronary artery disease: a predictor of biological age rather than chronological age