research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
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30 / 555 resultsresearch Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
The hybrid ensemble model improves scalp disease detection accuracy and consistency.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Minireview: vitamin D receptor: new assignments for an already busy receptor. - eScholarship
The vitamin D receptor has many roles in the body beyond managing calcium, affecting the immune system, hair growth, muscles, fat, bone marrow, and cancer cells.
research Vitamin D Receptor: New Assignments for an Already Busy Receptor
The vitamin D receptor is involved in multiple body functions beyond calcium regulation, including immune response and rapid reactions not related to gene activity.
research The Follicular Automaton Model: Effect of Stochasticity and of Synchronization of Hair Cycles
The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.
research Pharmacophore Modeling and Three Dimensional Database Searching for Drug Design Using Catalyst: Recent Advances
The document concludes that Catalyst software is effective for drug design, identifying potent compounds for various medical conditions.
research Molecular modeling and structural characterization of a high glycine–tyrosine hair keratin associated protein
The 3D structure of a key hair protein was modeled, revealing specific helical structures and stabilization features.
research Molecular modeling of hair keratin/peptide complex: Using MM‐PBSA calculations to describe experimental binding results
Electrostatic interactions mainly stabilize the binding of peptides to hair keratin.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
research A novel mouse model demonstrates that oncogenic melanocyte stem cells engender melanoma resembling human disease
Oncogenic melanocyte stem cells can develop into melanoma similar to human cases.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Two Hypomorphic Alleles of Mouse Ass1 as a New Animal Model of Citrullinemia Type I and Other Hyperammonemic Syndromes
Researchers created a new mouse model for studying Citrullinemia Type I and similar conditions, showing symptoms and treatment responses like those in humans.
research An N-Ethyl-N-Nitrosourea Induced Corticotropin-Releasing Hormone Promoter Mutation Provides a Mouse Model for Endogenous Glucocorticoid Excess
Researchers created a mouse model for Cushing's syndrome to study glucocorticoid excess and potential treatments.
research Phénylcétonurie de l’adulte : manifestations neurologiques et modalités évolutives
Proper diet management is crucial for preventing severe symptoms in phenylketonuria.
research A comparative analysis of three explanatory models of mental disorder and a preferred focus of explanation
Steroid cell tumors in the ovary are rare, can produce testosterone causing symptoms, and are mainly treated with surgery.
research The Effect of Lavandula stoechas on Wound Healing in an Experimental Diabetes Model
Lavandula stoechas helps wounds heal faster in diabetic and non-diabetic rats.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research Generation and characterization of rat liver stem cell lines and their engraftment in a rat model of liver failure
Researchers created rat liver stem cells that could help repair liver failure in rats and may be useful for studying human liver diseases.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 gene is up-regulated in keloid patients, suggesting potential targets for treatment.
research Exploring the effects of wetting and free fatty acid deposition on an atomistic hair fiber surface model incorporating Keratin Associated Protein 5-1
Water and fatty acids affect hair's surface differently based on hair damage, and models can help understand hair-cosmetic interactions.
research Minoxidil improves vascular compliance, restores cerebral blood flow, and alters extracellular matrix gene expression in a model of chronic vascular stiffness
Minoxidil improves blood flow and vessel flexibility, potentially helping with vascular stiffness.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model accurately simulates human hair growth and hair loss patterns.