research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
Search
for
Sort by
Research
90-120 / 1000+ resultsresearch Evaluation of acaricide treatments to experimentally reduce winter tick load on moose
The combination treatment effectively reduced winter tick load on moose.
research Understanding Anxiety and Knowledge Gaps Surrounding Laser Hair Removal: A Clinic-Based Cross-Sectional Study
Improving understanding of laser hair removal can reduce anxiety and help people make better decisions.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research Differential association between cumulative dose of 5α-reductase inhibitors and mortality
Higher doses of 5α-reductase inhibitors may lower mortality risk, but low doses increase it.
research Serum paroxonase 1 level may be an indicator and predictor of the severity of androgenetic alopecia
Low PON1 levels may indicate and predict the severity of hair loss.
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.
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 Cutaneous Findings and Systemic Associations in Women With Polycystic Ovary Syndrome
Women with PCOS often have more body hair, acne, and skin darkening, and these signs are linked to metabolic issues like insulin resistance and high cholesterol.
research Hair Growth-Promoting Effects of a Multi-Targeted Cosmetic Formulation Containing PYGL, DP2, and 15-PGDH Inhibitors Developed Using AI-Based DeepZema® in Androgenetic Alopecia: A 24-Week Randomized Controlled Trial
The formulation significantly increased hair density and thickness safely in people with androgenetic alopecia.
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 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 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 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 A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
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 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 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 Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.