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Research 31–60 of 41
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
- Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
- Nano-Enabled CRISPR-Cas Gene Editing for Cancer Therapeutics
- Artificial intelligence in dermatology: а scoping review
- Stimuli-responsive hydrogels for radiation-induced skin injury: from passive barriers to autonomous drug delivery systems
- Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
- Precision and Personalized Medicine in Transdermal Drug Delivery Systems: Integrating AI Approaches
- The impact of alopecia areata on patients' daily lives: A study using social media in France
- Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
- Predictive Modeling of Hair Fall using Random Forest Algorithms
- Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
- LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
- Smart Diagnostic System for Health Risk Assessment
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- Androgen Signaling Regulates SARS-CoV-2 Receptor Levels and Is Associated with Severe COVID-19 Symptoms in Men
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- A machine learning and network framework to discover new indications for small molecules