research Exploration of potential lipid biomarkers for premature canities by UPLC‐QTOF‐MS analyses of hair follicle roots
Researchers found that certain lipids, especially vitamin D3, are lower in prematurely grey hair than in pigmented hair.
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research Male baldness; association with coronary artery disease?
Male baldness is not significantly associated with coronary artery disease.
research Impact of Laboratory Work Up and Supplementation on Alopecia Patients: A Single-Center Retrospective Chart Review.
Vitamin supplements may not improve hair thickness or density in patients with non-scarring hair loss.
research The risk of psychiatric disorders in finasteride users with benign prostatic hyperplasia and androgenetic alopecia: A population‐based case–control study
Finasteride users have a very low risk of mental health issues, but those with hair loss may have slightly higher anxiety and depression.
research Pattern of body fat distribution in patients of PCOS using DEXA-based indices
PCOS patients have more central body fat, which can be effectively measured using DEXA.
research Hubungan Antara Telogen Effluvium Dengan Kejadian Paska Infeksi Covid-19 Di Klinik Sukma Periode Januari 2023-Februari 2023
Post-COVID-19 patients are at risk for hair loss.
research 42227 Efficacy and Predictive Factors of Systemic Corticosteroid in Alopecia Areata: Reappraisal of Oral Methylprednisolone Tapering Treatment
Methylprednisolone treatment helps most alopecia areata patients, but young age, extensive hair loss, and low vitamin D can affect results.
research Prognostic Significance of a Positive Nonsentinel Lymph Node in Cutaneous Melanoma
Finding a positive nonsentinel lymph node in melanoma patients indicates a worse prognosis.
research 5-alpha Reductase inhibitors and risk of male breast cancer: a systematic review and meta-analysis
Taking 5-alpha reductase inhibitors does not increase the risk of breast cancer in men.
research Different Patterns of Lichen Planus in Three Members of One Family
Lichen Planus in siblings may be influenced by genetics and environment.
research PV-0538 Prostaglandin related distinct regenerative activities in hair follicles following radiation injury
HPV infection is linked to better survival in advanced anal cancer, higher radiation doses improve survival, especially in HPV-negative patients, and prostaglandin E₂ pretreatment can protect mouse hair follicles from radiation damage.
research 1451 THE ASSOCIATION BETWEEN MALE PATTERN BALDNESS AND SECOND TO FORTH FINGER RATIO WITH PROSTATE CANCER- A PROSPECTIVE COHORT STUDY
Male pattern baldness may predict prostate cancer 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 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 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 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 Molecular Morbidity Score–Can MicroRNAs Assess the Burden of Disease?
MicroRNAs could help assess and manage multiple chronic diseases.
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 Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
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 A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
Age, diabetes, and cardiogenic shock at PCI are key factors linked to in-hospital death in STEMI patients with hypertension.
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 Study of Photostability of Finasteride, Diclofenac and Naproxen Through Exposure of Simulated Sunlight and Evaluation of Packaging Photoprotection of These Drugs
Finasteride is more stable in sunlight than Diclofenac and Naproxen.
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 Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research GYNECOMASTIA AFTER FINASTERIDE THERAPY
Finasteride may cause breast enlargement, low testosterone a risk factor.
research Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.