research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
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research GC–MS profiling and in silico prediction of MAPK receptor activation by fatty acids of watercress oil for hair growth marketed in Saudi Arabia
Watercress oil may promote hair growth by activating specific receptors.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Lupeol: an updated review utilizing AI-assisted predictive tools for enhanced therapeutic insights into lupeol’s potential for alopecia management
Lupeol shows promise for hair growth but needs better absorption and safety testing.
research Radiomics Nomogram for Early Diabetic Kidney Injury Prediction from Ultrasound Cohorts
A new tool using ultrasound and clinical data better predicts early diabetic kidney injury.
research Use of genetics in the prediction of success in male pattern hair loss therapy and mechanistic studies
Genetics can help tailor treatments for male pattern hair loss, improving outcomes like stabilization or modest regrowth.
research Novel Synthetic Steroid Derivatives: Target Prediction and Biological Evaluation of Antiandrogenic Activity
New steroid compounds may help with hormonal therapy and have potential benefits for glucose disorders, but more research is needed.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
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 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 Molecular Docking Studies and ADME-Tox Prediction of Phytocompounds from Punica granatum Peel as a Potential Anti-Alopecia Treatment
Pomegranate peel compounds may help treat hair loss.
research ST14 interacts with TMEFF1 and is a predictor of poor prognosis in ovarian cancer
High levels of ST14 and TMEFF1 proteins in ovarian cancer are linked to worse patient outcomes and may be a new treatment target.
research Are hand preference and sexual orientation possible predicting factors for finasteride adverse effects in male androgenic alopecia?
Hand preference and sexual orientation may predict finasteride side effects in male hair loss.
research Scalp hair sweating as a predictor of hair cortisol level in human compared to obesity and other confounders
Scalp hair sweating is a significant predictor of hair cortisol levels.
research Manual Dexterity and Self-Perceived Competence as Predictors of Performance in Dental Skills Assessments: A Cross-Sectional Study
Improving manual dexterity is key to better dental skills, while self-confidence doesn't predict actual performance.
research Defining a Therapeutic Window of Opportunity in Alopecia Areata: Predictors of Early Response to Baricitinib
Patients with certain baseline characteristics are more likely to benefit early from baricitinib for alopecia areata.
research 129 Utilizing Polygenic score in predicting the disease activity and arthritis in psoriasis patients
Polygenic Score can help predict severe psoriasis and psoriatic arthritis.
research Value of Sulfotransferase Enzyme Assay in Predicting Minoxidil Response in Patients with Androgenetic Alopecia
Higher sulfotransferase enzyme levels predict better response to minoxidil for hair growth.
research Alopecia areata: Multivariate analysis for predicting its clinical course
Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
research PD02-05 SRD5A2 EXPRESSION IS A PREDICTOR OF RESPONSE TO FINASTERIDE IN THE MTOPS TRIAL
Higher SRD5A2 expression predicts better response to finasteride in treating urinary symptoms.
research Second-to-fourth digit ratio and age predicting the severity of androgenetic alopecia: a cross-sectional study
Lower 2D:4D ratio and older age increase the risk of severe hair loss in men.
research Hair Loss in Females after Sleeve Gastrectomy: Predictive Value of Serum Zinc and Iron Levels
Low zinc and iron levels can predict hair loss after sleeve gastrectomy in women.
research CSF 5-HIAA as a predictor of treatment response in trichotillomania.
Higher CSF 5-HIAA levels may predict better response to serotonin re-uptake inhibitors in trichotillomania.
research Serum anti-Müllerian hormone as a predictor of polycystic ovarian syndrome among women of reproductive age
High levels of anti-Müllerian hormone can indicate polycystic ovarian syndrome in women who can have babies.
research Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases
Long-lived proteins may predict age-related diseases.
research Postoperative Urinary Retention is an Independent Predictor of Short-Term and Long-Term Future Bladder Outlet Procedure in Men
Older men with postoperative urinary retention are more likely to need future bladder procedures.
research Early Androgenetic Alopecia as a Predictor of Ischemic Heart Disease
Early hair loss may predict heart disease.
research Using machine learning to identify predictors of maternal and infant hair cortisol concentration before and during the COVID-19 pandemic
Machine learning can help identify stress indicators in mothers and infants.
research Identification of Stigmatization and Relevant Predictors in People with Alopecia Areata and Androgenetic Alopecia: A Comparative Cross-sectional Study in German-speaking Countries and the USA
Stigmatization and quality of life in people with alopecia are influenced by gender and sociodemographics, suggesting a need for better support.