research Sex hormone binding globulin - an important biomarker for predicting PCOS risk: A systematic review and meta-analysis
Lower SHBG levels may increase the risk of PCOS.
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150-180 / 1000+ results research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research Efficacy of serum anti-mullerian hormone (AMH) levels for prediction of polycystic ovary syndrome (PCOS) and its association with clinical, biochemical and hormonal parameters
research Ischemic modified albumin as a new biomarker in predicting of oxidative stress in alopecia areata
Ischemic modified albumin could be a new indicator of oxidative stress in people with alopecia areata.
research Valency based novel quantitative structure property relationship (QSPR) approach for predicting physical properties of polycyclic chemical compounds
The neighborhood face index (NFI) accurately predicts properties of complex molecules.
research Ratio of ovarian stroma and total ovarian area by ultrasound in prediction of hyperandrogenemia in reproductive-aged Thai women with polycystic ovary syndrome: A diagnostic test
Ultrasound measurement of the ovarian stroma to total area ratio is not a reliable single predictor of high male hormone levels in Thai women with PCOS, but works better when combined with clinical signs.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Plasma Zinc Levels in Males with Androgenetic Alopecia as Possible Predictors of the Subsequent Conservative Therapy’s Effectiveness
Lower zinc levels may predict less effective hair loss treatment.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Mechanistic insights of desmopressin loaded elastic liposomes for transdermal delivery: HSPiP predictive parameters and instrumental based evidences
Desmopressin-loaded liposomes can effectively deliver drugs through the skin, improving bioavailability and patient compliance.
research RETRACTED: Thyroid Dysfunction and Alopecia Areata: A Genetic Prediction Causality Analysis Study
The study initially suggested a genetic link between thyroid issues and hair loss.
research Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
Tadalafil and Finasteride may help treat aggressive melanoma.
research DiZyme: The Ultimate Resource for Nanozyme Multiple Catalytic Activity Prediction
DiZyme accurately predicts nanozyme activities to aid in discovering new applications.
research Unraveling Evolutionary Insights into AVT Peptide Conservation and Antimicrobial Motif Prediction Across Taxa
AVT is highly conserved and may have antimicrobial properties.
research The role of fear of intimacy and loneliness in predicting of academic enthusiasm in medical science students: a cross-sectional study from the Iran
Loneliness reduces academic enthusiasm in students.
research A hair-follicle reconstructed in vitro immunocompetent skin model for prediction of the sensitizing potential of chemicals
The new skin model can predict how chemicals might cause skin allergies.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
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 Identification of N6-Methyladenosine-Related Factors and the Prediction of the Regulatory Mechanism of Hair Follicle Development in Rex and Hycole Rabbits
N6-methyladenosine affects hair follicle development differently in Rex and Hycole rabbits.
research Logic-Based Modeling and Drug Repurposing for the Prediction of Novel Therapeutic Targets and Combination Regimens against E2F1-Driven Melanoma Progression
Cialis and Finasteride could be repurposed to treat aggressive melanoma.
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 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 Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
Scalp cooling to prevent hair loss from chemotherapy works for some but not all, and studying hair damage markers could improve prevention and treatment.
research Analysis of keratin films as screening tools for predicting the efficacy of potential hair dyes
Translucent keratin films are better for testing hair dyes.
research Pigmented vellus and upright regrowing hairs as the only predictive trichoscopic markers of hair regrowth in alopecia totalis and universalis
Pigmented vellus and upright regrowing hairs predict hair regrowth in severe alopecia.
research Evaluating the Role of the Gabrin Sign in Predicting COVID-19 Severity Among Patients with Androgenic Alopecia
Severe hair loss may increase the risk of dying from COVID-19.
research The Use of 2D: 4D Digit Ratio as a Predictor of Androgenetic Alopecia: A Review
Finger length ratios might help predict common hair loss.
research Rotterdam criteria–based diagnostic subtype is not a strong predictor of cutaneous phenotype in patients with polycystic ovary syndrome: A cross-sectional study
The type of PCOS a woman has doesn't strongly predict her skin or metabolic symptoms; obesity is a more important factor.
research Sentinel lymph node status is the strongest independent predictor for disease free and overall survival in patients with thick melanoma
The health of the sentinel lymph node is the best indicator of survival for patients with thick skin cancer.