research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.
Search
for
Sort by
Research
840-870 / 1000+ results 
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research Trichoscopy in alopecia areata and trichotillomania
Trichoscopy can reliably distinguish between alopecia areata and trichotillomania.
research A modular modeling approach for investigating wool critical buckling from biologically variable along-fiber microstructure
The model helps understand how wool fiber structure affects its strength and flexibility.
research Light scattering from human hair fibers
Researchers developed a new model for more realistic computer graphics of hair by considering how light scatters on hair fibers.
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 Reduced SMAD2/3 activation independently predicts increased depth of human cutaneous squamous cell carcinoma
Lower SMAD2/3 activation predicts more severe skin cancer.
research Analysis of gene expression patterns and levels in maize hybrids and their parents
Maize hybrids show better early growth due to complex gene interactions from their parent strains.
research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
research Digit-length ratios (2D:4D) as a phenotypic indicator of in utero androgen exposure is not prognostic for androgenic alopecia: a descriptive-analytic study of 1200 Iranian men
Finger length ratios don't predict baldness in men.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Animal Models of Psoriasis – What Can We Learn from Them?
Rodent models helped understand psoriasis but none perfectly replicated the disease.
research Price discrimination across indications in the pharmaceutical industry: The case of finasteride
The same drug is priced differently based on its use.
research Differential Expression of MITF, WNT3A, SLC7A11, and EDN3 in the Shoulder ‘Bider Marking’ of Dun Mongolian Horses
MITF and WNT3A are key in Dun Mongolian horse pigmentation.
research The Use of 2D: 4D Digit Ratio as a Predictor of Androgenetic Alopecia: A Review
Finger length ratios might help predict common hair loss.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Dissection of genetic variation and evidence for pleiotropy in male pattern baldness
Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.
research Genetic Analysis of Male Pattern Baldness and the 5α-Reductase Genes
Male pattern baldness is likely caused by multiple genes, not just 5α-reductase genes.
research Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
research Predicting hair cortisol levels with hair pigmentation genes: a possible hair pigmentation bias
Darker hair may lead to higher cortisol readings, suggesting a need to adjust for hair color in studies.
research DRUG POLYMORPHISM IDENTIFICATION USING FOURIER TRANSFORM-RAMAN SPECTROSCOPY: A COMPARATIVE STUDY OF LAMIVUDINE AND FINASTERIDE DRUGS
FT-Raman spectroscopy is effective for identifying drug polymorphs, ensuring quality and stability.
research Polycystic ovary syndrome: Criteria, phenotypes, race and ethnicity
PCOS diagnosis and treatment should consider race and ethnicity for accuracy.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research Reliability of the pattern hair loss classifications: A comparison of the basic and specific and N orwood–H amilton classifications
The BASP classification is more reliable than the Norwood-Hamilton for classifying hair loss in men and women.
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.