research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
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research Scalp disease analysis using deep learning models
Deep learning models can analyze scalp diseases effectively.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research 574 A deep learning classifier for the analysis of tiger tail banding in trichothiodystrophy
A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
research An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research An investigation of in vivo wound healing activity of biologically synthesized silver nanoparticles
Silver nanoparticles in gel form can effectively heal wounds.
research Novel missense mutation in the EDA gene in a family affected by oligodontia
Researchers found a new mutation in the EDA gene that likely causes missing teeth and mild skin symptoms in one family.
research Optimisation of microstructured biodegradable finasteride formulation for depot parenteral application
Improved finasteride formula allows slow, sustained release and better absorption for patients.
research Alpinia zerumbet an essential medicinal herb
Alpinia zerumbet is a promising medicinal herb with various health benefits.
research Hair aging and anti-aging
Hair ages due to various factors and treatments like minoxidil and finasteride can help, but more research and better public awareness are needed.
research Sexual dysfunction, including hypoactive sexual desire disorder: Diagnosis and treatment recommendations
Testosterone therapy can improve sexual function in women but long-term safety is unclear.
research Androgenisierung
The document concludes that proper diagnosis and individualized treatment are crucial for managing androgenization in women effectively.
research The study of the range and availability of Vitamin D 3 preparations in the pharmaceutical market of Ukraine
Vitamin D3 is crucial for immune and bone health, with most consumers being women who follow doctor advice.
research Estudio comparativo de dos complementos alimenticios inhibidores de la 5a-reductasa en la alopecia androgénica femenina
The higher dose supplement was more effective in treating female hair loss.
research Alopecia androgénica femenina: nuevos factores fisiopatológicos y futuras tendencias para un abordaje clínico más integral
New factors in female hair loss include genetics, hormones, stress, and inflammation; future treatments should also focus on these areas and consider the patient's emotional well-being.
research Tufted Folikülit: Bir Olgu Sunumu
Isotretinoin reduced inflammation in tufted hair folliculitis, but hair tufting remained.
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%.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research Novel ABCD1 Gene Mutation in Adrenomyeloneuropathy with Hypoplasia and Agenesis of the Corpus Callosum
Researchers found a new ABCD1 gene mutation linked to a rare brain and nerve disorder with unusual brain changes.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Assessment of anogenital distance as a diagnostic tool in polycystic ovary syndrome
Measuring the distance from the anus to the clitoris may moderately help diagnose polycystic ovary syndrome, especially in certain cases.
research 3D analysis of facial morphology in Dutch children with cancer
Children with cancer had slightly more unusual facial shapes than healthy kids, but not enough to easily tell them apart.