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Research 91–120 of 1000+
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- PHARMACOGNOSTICAL EVALUATION OF ROOTS OF SIMMONDSIA CHINENSIS SCHNEIDER
- FUE: Basic and Advanced Techniques
- Steroid Sulfatase: Molecular Biology, Regulation, and Inhibition
- Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
- A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features
- Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
- Genetic prediction of male pattern baldness based on large independent datasets
- Predictive Metagenomic Profiling, Urine Metabolomics, and Human Marker Gene Expression as an Integrated Approach to Study Alopecia Areata
- Morphometric prediction of mesenchymal stromal cell-like immunosuppressive capacity of human hair follicle dermal sheath cup cells: an implication for regenerative medicine in hair loss diseases
- Evaluation of the Efficacy and Threshold of Serum Anti-mullerian Hormone (AMH) Levels for Diagnosis and Prediction of Polycystic Ovary Syndrome (PCOS) Among Indian Women.
- Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
- The Value of Androgen Measures for Diagnosing Polycystic Ovary Syndrome (PCOS) in an Unselected Population
- Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data
- Prediction and Demonstration of Retinoic Acid Receptor Agonist Ch55 as an Antifibrotic Agent in the Dermis
- Predictive factors for therapeutic response and cluster analysis in syndrome of undifferentiated recurrent fever (SURF)
- KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
- A perspective on predictive markers of alopecia
- A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
- Prediction of cell states and key transcription factors of the human cornea through integrated single-cell omics analyses
- Prediction of the Mechanism of Shaoyao Gancao Decoction in the Treatment of Alopecia Areata by Network Pharmacology and Its Preliminary Verification Study
- Comparative evaluation of sonographic ovarian morphology of Indian women with polycystic ovary syndrome versus those of normal women
- Safety and quality of life of CDK4/6 inhibitors therapy for hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer: a multicenter cross-sectional survey in China
- “Cellularity as a predictive tool for mesenchymal stem cell concentration in bone marrow concentrates: Implications for regenerative medicine”
- Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
- Post Covid telogen effluvium: the diagnostic value of serum ferritin biomarker and the preventive value of dietary supplements. a case control study
- Ischemic modified albumin as a new biomarker in predicting of oxidative stress in alopecia areata
- GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases