research Effect of Behavioral Factors on Severity of Female Pattern Hair Loss: An Ordinal Logistic Regression Analysis
Avoid alcohol, ponytails, and oily scalp, and get good sleep to prevent severe hair loss.
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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 Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
research Peer Review #6 of "The mediation role of sleep on the relationship between drinks behavior and female androgenetic alopecia (v0.2)"
Sleep may mediate the link between sugary drinks and female hair loss.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research Receipt of 5-Alpha Reductase Inhibitors Before Radical Cystectomy: Do They Render High-Grade Bladder Tumors Less Aggressive?
Taking 5-Alpha Reductase Inhibitors before bladder removal surgery might make high-grade bladder tumors less aggressive.
research Hyperpigmentation post laser hair removal in patients taking Vitamin D supplements
Taking Vitamin D supplements may increase the risk of skin darkening after laser hair removal.
research Association of Risk Factors with Female Pattern Hair Loss
Older age, family history, and low iron levels increase the risk of female hair loss.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
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 Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research An Analysis of the Correlation between Alopecia and Chief Complaints
Hair loss is significantly linked to symptoms like dry hair, scalp issues, addiction to tobacco or coffee, anxiety, and digestive problems.
research Evaluation of affective temperament and anxiety–depression levels of patients with polycystic ovary syndrome
Women with PCOS tend to have higher anxiety and depression levels compared to healthy women.
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 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 Abdominal Obesity as a Predictive Factor of Nonalcoholic Fatty Liver Disease Assessed by Ultrasonography and Transient Elastography in Polycystic Ovary Syndrome and Healthy Women
Belly fat is the main predictor of nonalcoholic fatty liver disease in both women with Polycystic ovary syndrome and healthy women.
research Decreased Gas6 and sAxl Plasma Levels Are Associated with Hair Loss in COVID-19 Survivors
Lower Gas6 and sAxl levels are linked to hair loss in COVID-19 survivors.
research The Cycle Characteristics and Outcomes of Infertile Nonclassic 21-Hydroxylase Deficiency Patients Undergoing Ovarian Stimulation for In Vitro Fertilization
Women with nonclassic 21-hydroxylase deficiency can have successful pregnancies through IVF, with certain factors affecting their chances.
research Incidence of alopecia in brain tumour patients treated with pencil scanning proton therapy and validation of existing NTCP models
A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research Polycystic ovarian syndrome: Prevalence and its correlates among adolescent girls
About 15% of adolescent girls in a region of India have Polycystic Ovarian Syndrome, which is more common in those born by cesarean, with wisdom teeth, or with central obesity.
research Correlation between changes of nutritional parameter changes and alopecia in patients with obesity undergoing laparoscopic sleeve gastrectomy: a prospective cohort study
Lower levels of certain nutrients after surgery may increase hair loss risk.
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 Evaluating subjective versus objective measures of changes in hair density using standardized scalp photography
Dermatologists can accurately detect smaller differences in hair density than previously thought.
research Clinical analysis of rash in systemic lupus erythematosus
Rash in SLE patients indicates more severe disease.