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Research 61–90 of 1000+
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
- Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
- A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
- Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
- Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
- GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
- Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
- Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
- A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
- 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
- ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
- OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
- Drug Repurposing against KRAS Mutant G12C: A Machine Learning, Molecular Docking, and Molecular Dynamics Study
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- Hair and Scalp Disease Detection using Machine Learning and Image Processing
- How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
- Gaining New Insights in Plant Biology through Human–Machine Collaboration
- Structural analysis of a washer machine cylinder
- Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Innovative approaches to baldness detection and management with artificial intelligence and machine learning
- Global Research Trends for Platelet-Rich Plasma: A Science Mapping with Machine Learning Techniques
- Clinical Update: First Impressions of the CapilliCARE® Hair and Scalp Analysis Machine in Early Androgenetic Alopecia
- Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 posts
- Formulation and Development of Organic Hair Shampoo from Discharged Beer in Filler Machine (Brewery Industry) and Aloe Vera Plant Gel
- From laboratory to operating room: Innovative use of manual blood cell counting machine for counting follicular grafts