research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
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390-420 / 1000+ resultsresearch PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
The method accurately detects and classifies scalp diseases, including alopecia areata, with 89.3% accuracy.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
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 Deconvolving organogenesis in space and time via spatial transcriptomics in thick tissues
3DEEP reveals early hair follicle stem cell formation and niche establishment before hair bulb development.
research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
Machine learning can predict stress-related hair loss and suggest prevention tips.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Forensic DNA phenotyping: the need for proportionate regulation and judicial clarity in law enforcement
Unified regulations and ethical guidelines are needed for fair use of forensic DNA phenotyping.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
GPT-4 performs well on medical exams but still needs human doctors for critical thinking.
research The prediction of hairfall pattern in a person using artificial intelligence for better care and treatment
AI can predict hair loss patterns to improve care and treatment.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research Exploring Diachronic Changes of Biomedical Knowledge using Distributed Concept Representations
The document concluded that biomedical knowledge changes over time and the study evaluated a new method to track these changes.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
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 Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Dense Packing
Dense packing fits many hair grafts closely together for a natural look but isn't suitable for everyone.
research Forensic DNA phenotyping: A promising tool to predict human appearance for forensic purposes
Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.
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.
research The concept of latent social skills in autism and its predictive value for future development
research Engineering Human Skin with Spatially Defined Hair Peg-Like Structures Using Self-Organizing Composite Organoids and Micropatterned Dermal Scaffolds
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Table S1. Disease-dependent differences between tape-strip and bulk biopsy ssGSEA scores across hair follicle compartments
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research A flexible fixed-sequence testing method for hierarchically ordered correlated multiple endpoints in clinical trials
The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.