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- Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
- Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
- A machine learning and network framework to discover new indications for small molecules
- Understanding Polycystic Ovary Syndrome
- Glutamine Metabolism Controls Stem Cell Fate Reversibility and Long-Term Maintenance in the Hair Follicle
- Effects of Selenium and Other Micronutrient Intake on Human Health
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
- An Early Hair Loss Detection and Prediction Method Based on Machine Learning
- Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative
- Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
- Accessing Properties of Molecular Compounds Involved in Cellular Metabolic Processes with Electron Paramagnetic Resonance, Raman Spectroscopy, and Differential Scanning Calorimetry
- HPLC characterization, molecular docking, QSAR and molecular dynamics simulation of Alstonia boonei phytochemical analogs as potent 5-alpha reductase inhibitors
- Modern Polycystic Ovary Syndrome (PCOS) Management: Intelligent Drug Delivery and Metabolic Reprogramming for Ovarian Restoration and Fertility Optimization
- HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
- Precision and Personalized Medicine in Transdermal Drug Delivery Systems: Integrating AI Approaches
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
- Progress in Topical and Transdermal Drug Delivery Research—Focus on Nanoformulations
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- NAD⁺ Biology in Ageing and Chronic Disease: Mechanisms and Evidence across Skin, Fertility, Osteoarthritis, Hearing and Vision Loss, Gut Health, Cardiovascular–Hepatic Metabolism, Neurological Disorders, and Muscle
- ESGCT and FSGT Collaborative Congress Helsinki, Finland September 17–20, 2015 Abstracts
- Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence