research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
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540-570 / 1000+ resultsresearch 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 Analyses prospectives de mortalité : approches actuarielle et biomédicale
Biomedical innovations could extend human lifespan, but may impact pension systems.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research A Powerful Method for Pleiotropic Analysis under Composite Null Hypothesis Identifies Novel Shared Loci Between Type 2 Diabetes and Prostate Cancer
The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.
research Development and Qualification of a Physiologically Based Pharmacokinetic Model of Finasteride and Minoxidil Following Scalp Application
The model can help predict how finasteride and minoxidil work when applied to the scalp.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
research Evaluating anti-LGBTQIA+ medical bias in large language models
Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Prioritizing Susceptibility Genes for the Prognosis of Male-pattern Baldness with Transcriptome-wide Association Study
The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
research Abstracts
The model helps improve medical devices by showing how skin deforms under pressure.
research Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata
The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
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 Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research A method on establishment of acne complex animal model
The new rabbit model better mimics human acne symptoms.
research An appraisal of laboratory models of androgenetic alopecia: A systematic review
Better hair loss models needed for research.
research Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
research Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
Marxan is better for designing Marine Protected Areas in the Eastern English Channel.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
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 Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research Empirical evidence of observer bias in randomized clinical trials: updated and expanded analysis of trials with both blinded and non-blinded outcome assessors
Non-blinded assessors tend to overestimate effects in trials by about 29%.
research Alopecia areata − animal models
Alopecia areata is influenced by genetics and immune system factors, and better understanding could improve treatments.
research Communicating CSR – the Lasswell’s model approach
Using Lasswell's model can make CSR communication more effective and trusted.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Homology Modeling of 5-alpha-Reductase 2 Using Available Experimental Data
Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.
research Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese
Polygenic risk scores can predict the risk and outcomes of benign prostatic hyperplasia.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
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 080 Mouse models of alopecia areata: C3H/HeJ mice versus the humanized AA mouse model
The humanized AA mouse model is better for testing new alopecia areata treatments.