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Research 181–210 of 1000+
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
- An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
- Hybrid Recommendations System for Women Health Nutrition at Menstruation Cycle
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Clinical diagnosis of COVID-19: a prompt, feasible, and sensitive diagnostic tool for COVID-19 based on a 1,757-patient cohort (The AndroCoV Clinical Scoring for COVID-19 diagnosis)
- An Innovative Scalp-Dyeing Technique with Gentian Violet Solution During Follicular Unit Extraction for White-Haired Follicular Units
- Screening and confirmation methods of the major urinary metabolite of finasteride–carboxy-finasteride by liquid chromatography–mass spectrometry and liquid chromatography–tandem mass spectrometry
- RP-HPLC assay method for simultaneous estimation of tamsulosin hydrochloride and finasteride in pharmaceutical dosage form
- Association between coronary artery disease and the diagonal earlobe and preauricular creases in men * Associação entre doença arterial coronariana e as pregas lobular diagonal e anterotragal em homens *
- A Validated Stability-Indicating RP-HPLC Method for Concurrent Determination of Minoxidil and Dutasteride in a Synthetic Mixture
- Mechano-encoding hydrogel microspheres for extracellular and pericellular matrix remodeling in musculoskeletal organoids
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Follicular Atopic Dermatitis in Dark Skin
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
- Pediatric Lichen: Epidemiological and Clinical Characteristics in Children
- Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- METHOD DEVELOPMENT AND VALIDATION OF UV-SPECTROPHOTOMETRIC ESTIMATION OF FINASTERIDE IN BULK AND PHARMACEUTICAL DOSAGE FORM
- Medical Reasoning with Large Language Models: A Survey and MR-Bench
- Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- Method development and estimation of minoxidil by gas chromatography
- Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
- Trichoscopic versus Digital Folliscopic findings of Male Androgenetic Alopecia-Comparative study
- Unraveling the Strand: A Comprehensive Review on the Forensic Significance of Microscopic Human Scalp Hair Analysis