research Increased Risk of Local Recurrence in Cutaneous Squamous Cell Carcinoma Arising in Sun-Exposed Skin: A Retrospective Cohort Study
Skin cancer in sun-exposed areas is more likely to come back.
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research Uncovering the genetic architecture and evolutionary roots of androgenetic alopecia in African men
Genetic predictions of baldness in Europeans don't apply well to African men.
research Validation of a skin and coat scoring protocol in dogs
The protocol is easy to use, but reliable results need the same person to assess each time.
research Development of the First Health-Related Quality of Life Questionnaires in Arabic for Women with Polycystic Ovary Syndrome (Part I): The Creation and Reliability Analysis of PCOSQoL-47 and PCOSQoL-42 Questionnaires
Two new reliable Arabic questionnaires for measuring quality of life in women with PCOS were created, one for married and one for unmarried women.
research Hair density response to photobiomodulation in canine alopecia X is measured reliably with an ordinal scale: a randomized, controlled, double-blind study
Photobiomodulation did not significantly improve hair density in dogs with alopecia X.
research The Alopecia Areata Investigator Global Assessment scale: a measure for evaluating clinically meaningful success in clinical trials
The AA-IGA scale reliably measures treatment success in alopecia areata by considering both clinician and patient views.
research Oral and Systemic Manifestations of Systemic Lupus Erythematosus; Exploring the Association
Oral ulcers are common in SLE patients and often link to other symptoms.
research Wound healing with topical BRAF inhibitor therapy in a diabetic model suggests tissue regenerative effects
A topical BRAF inhibitor, vemurafenib, can speed up wound healing and promote hair growth, especially in diabetic patients.
research Bayesian measurement-error-driven hidden Markov regression model for calibrating the effect of covariates on multistate outcomes: Application to androgenetic alopecia
Model improves accuracy in predicting hair loss effects.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
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 Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Is There an Association Between Male Alopecia Areata and the Ratio of Second to Fourth Finger Length?
A lower second to fourth finger length ratio may predict male alopecia areata.
research Mental, Behavioral And Physical Effects Of Power Enhancing Drugs In Chronic Users
Power-enhancing drugs can cause mood swings, aggression, anxiety, and physical side effects, questioning their overall benefits.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
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 Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
research W locus alleles of the KIT Gene in Turkish Van Cats and Their Association with Certain Phenotypes
Turkish Van cats' genotypes don't affect traits like eye color or hair length.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research Association Between Facial Rejuvenation and Observer Ratings of Youth, Attractiveness, Success, and Health
Facial rejuvenation surgery makes people look younger, more attractive, successful, and healthy.