research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
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660-690 / 1000+ results research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research Optimization of finasteride nano-emulsion preparation by using chemometrics approaches (and/or Box-Behnken design and regresion model)
research Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women
Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research MARFATIA AWARD
The screening method effectively predicts psychosis, valproate use is linked to hair loss, and IDEAS is valid for assessing mental disorder disability.
research Beta-trace protein in chronic inflammatory demyelinating polyradiculoneuropathy and Guillain-Barré syndrome – clinical utilization and a new insight into pathophysiological mechanisms
Beta-trace protein may help diagnose and predict treatment response in certain nerve disorders.
research Experiences with Parieto-Occipital Flaps in Hair Transplantation
Using a scalp flap for hair transplantation gives denser, faster results than older methods, but it's complex and needs careful planning.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Método para avaliação quantitativa da eficácia de tratamentos para queda de cabelo mediante análise de imagens: estudo preliminar
The method is effective for evaluating hair loss treatments quickly and affordably.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research เครองมอประมวลผลภาพดจทลสำหรบวดขอมลของเสนผมบนหนงศรษะของผปวยโรคผมบางทางพนธกรรม
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics rendering of hair by considering how light scatters on hair fibers.
research USO DE ESTIMULAÇÃO CEREBRAL PROFUNDA (DBS) PARA O TRATAMENTO DA DOENÇA DE PARKINSON
Deep Brain Stimulation helps manage Parkinson's symptoms when medication isn't enough.
research The multifaceted role of hair as a biospecimen: recent advances in precision medicine and forensic science
Hair analysis is valuable for health and forensics but faces challenges like growth variability and contamination.
research The Black identity, hair product use, and breast cancer scale
The BHBS is a valid tool to study cultural norms and breast cancer risk in Black women.
research Modeling Dynamic Hair as a Continuum
The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
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 Utility of caffeine analysis for forensic hair discrimination
Caffeine in hair might help identify people, but it's not always reliable.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
research Temporal Peaks Restoration: A New Innovation
The technique effectively restores temporal peaks in hair transplants using different hair densities and angles in three zones.
research Editorial: Software survey section
research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research Quantitative Models for the Study of Hair Growth in Vivoa
The conclusion is that small hair follicles cause baldness in macaques, and treatments like antiandrogens and minoxidil can prevent hair loss and promote regrowth.
research Review of: "“Toupee or not Toupee?” Sic (et Non). Social perceptions of Male Pattern Baldness (Androgenetic Alopecia)"
The review suggests the study on male pattern baldness needs more detail on sample size, methodology, bias, and ethical considerations.