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- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
- Minireview: vitamin D receptor: new assignments for an already busy receptor. - eScholarship
- Vitamin D Receptor: New Assignments for an Already Busy Receptor
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
- Pharmacophore Modeling and Three Dimensional Database Searching for Drug Design Using Catalyst: Recent Advances
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- A novel mouse model demonstrates that oncogenic melanocyte stem cells engender melanoma resembling human disease
- Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- A comparative analysis of three explanatory models of mental disorder and a preferred focus of explanation
- Generation and characterization of rat liver stem cell lines and their engraftment in a rat model of liver failure
- Exploring the effects of wetting and free fatty acid deposition on an atomistic hair fiber surface model incorporating Keratin Associated Protein 5-1
- Modeling the dynamics of human hair cycles by a follicular automaton
- Module-based complexity formation: periodic patterning in feathers and hairs
- Clinically relevant aberrant Filip1l DNA methylation detected in a murine model of cutaneous squamous cell carcinoma
- Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
- Single Root hair growth under constant force: insights into wall mechanics
- Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data
- Sequence and structure based assessment of non-synonymous SNPs in hypertrichosis universalis
- Type 2 Cytokine–Dependent Skin Barrier Regulation in Personalized 2-Dimensional and 3-Dimensional Skin Models of Atopic Dermatitis: A Pilot Study
- The PER3 rs772027021 SNP induces pigmentation phenotypes of dyschromatosis universalis hereditaria
- Zebrafish Model of Hereditary Pigmentary Disorders
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study