research Clinically relevant skull models and optical measurement method to evaluate programmable hydrocephalus valve tool kit usability
Three skull models were found most useful for testing hydrocephalus valve programming.
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600-630 / 1000+ resultsresearch Application of 3D Reflectance Confocal Microscopy: Melanocytic Proliferations as 3D Models; JAAD Supplemental Material
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
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 Senescence-accelerated Mouse (SAM): With Special Reference to Development and Pathobiological Phenotypes
The SAM model helps understand aging and related diseases.
research 3D-Hautmodelle von Patienten mit Small Fiber Neuropathie
A protocol was developed to create 3D skin models from adult diseased cells to study Small Fiber Neuropathy.
research A 3D microtumour system that faithfully represents ovarian cancer minimal residual disease
The study developed a 3D model that closely imitates remaining ovarian cancer after treatment and identified a potential drug targeting resistant cancer cells.
research Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
research Coupled 3D reconstruction of sparse facial hair and skin
The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
A deep learning model accurately detects early hair loss signs using scalp images.
research Modeling animal genomics in mice: An authentic approach for the functional interrogation of evolutionarily and agriculturally critical variants
Mouse models are essential for studying and improving genetic traits in agriculture.
research Bioengineered Skin Intended as In Vitro Model for Pharmacosmetics, Skin Disease Study and Environmental Skin Impact Analysis
Bioengineered skin models help reduce animal testing and advance research in cosmetics and skin disease.
research Automated Classification of Male and Female Pattern Hair Loss Stages Using EfficientNet According to the Hamilton-Norwood and Ludwig Scale
EfficientNet improves accuracy in diagnosing hair loss stages.
research A general mathematical model for the in vitro assembly dynamics of intermediate filament proteins
The model shows that filament flexibility and amino acid differences affect how fast intermediate filament proteins assemble.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research 3D organotypic skin models recapitulate autoantibody-driven pemphigus pathomechanisms and targeted therapeutic response
The 3D skin model mimics pemphigus vulgaris and helps test treatments.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research 1344 Novel human 3D skin model for skin aging research
Scientists created a 3D skin model that shows typical signs of aging, which can help in aging research.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Bioengineering a humanized acne microenvironment model: Proteomics analysis of host responses to Propionibacterium acnes infection in vivo
A new model helps study acne and test treatments.
research 501 Next-generation in vitro testing: microfluidic models for aging, wound healing, and oral tissue analysis in safety, efficacy, and permeation studies
Microfluidic models improve testing for aging, wound healing, and oral tissue, reducing animal testing.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
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 Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Integument pattern formation involves genetic and epigenetic controls: feather arrays simulated by digital hormone models.
Feather patterns form through genetic and epigenetic controls, with cells self-organizing into periodic patterns.
research Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models — Shenzhen City, Guangdong Province, China, 2023–2025
Large language models can accurately identify monkeypox from medical records.
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.