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.
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research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and an Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research Prediction of Therapeutic Outcomes of Female Pattern Hair Loss Patients Based on Clinical Features with Application of Artificial Intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Genetic Prediction of Male Pattern Baldness Based on Large Independent Datasets
New models predict male pattern baldness better than old ones but still need improvement.
research In Silico Prediction of Metabolites in Petroselinum Crispum for Inhibiting Androgen Receptor as Treatment for Alopecia
Parsley contains compounds that might be good for treating hair loss.
research The Prediction of Hairfall Pattern in a Person Using Artificial Intelligence for Better Care and Treatment
AI can predict hair loss patterns to improve care and treatment.
research Computer-Assisted Epitope Prediction Revealed Potential Autoantigens Associated with Human Alopecia Areata
Melanogenesis-related proteins may trigger immune responses in alopecia areata patients.
research Prediction of Bladder Prostatic Obstruction: Development of a Simplified Clinical Nomogram
Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
research Early Clinical Features in Systemic Lupus Erythematosus: Can They Be Used to Achieve Earlier Diagnosis? A Risk Prediction Model
A risk prediction model can help diagnose systemic lupus erythematosus earlier in primary care.
research In Silico Prediction of Prostaglandin D2 Synthase Inhibitors from Herbal Constituents for the Treatment of Hair Loss
Herbal compounds like ricinoleic acid, quercetin-3-O-rutinoside, and hinokiflavone may be safe and effective for treating hair loss.
research Molecular Docking Studies and ADME-Tox Prediction of Phytocompounds from Merremia Peltata as a Potential Anti-Alopecia Treatment
The compound 16 from the Merremia peltata plant could potentially be a good treatment for hair loss (alopecia) due to its strong activity and favorable skin absorption.
research In Silico Structural Prediction of Human Steroid 5α-Reductase Type II
Scientists found out the structure of a human enzyme linked to prostate cancer and hair loss, which could help in designing drugs.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research Molecular Docking Studies and ADME Prediction of Novel Isatin Analogs with Potent Anti-EGFR Activity
Some new isatin compounds could be strong cancer-fighting drugs because they fit well in cancer-related proteins and have good drug-like properties.
research Pharmacokinetic-Pharmacodynamic Modeling Approach for Dose Prediction of the Optimal Long-Acting Injectable Formulation of Finasteride
Optimal long-acting finasteride injection dose found: 16.8 mg, effective for one month.
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 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 Molecular Docking Studies and ADME-Tox Prediction of Phytocompounds from Punica granatum Peel as a Potential Anti-Alopecia Treatment
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 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 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 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 In Vitro Selective Inhibition of Human UDP-Glucuronosyltransferase (UGT) 1A4 by Finasteride and Prediction of In Vivo Drug–Drug Interactions
Finasteride affects UGT1A4 enzyme, but not enough to cause issues when combined with other drugs.
research Finasteride Inhibits 5α-Reductase Activity in Human Dermal Fibroblasts: Prediction of Its Therapeutic Application in Androgen-Related Skin Diseases
Finasteride helps treat skin issues like acne and baldness by blocking testosterone conversion.
research Increase in CD8+ Effector Memory Cells Re-Expressing CD45RA Reflects Disease Activity and Enables Early Prediction of Therapeutic Outcome in Rapidly Progressive Alopecia Areata
Increased TEMRA cells can predict treatment outcomes in rapidly progressive alopecia areata.
research Evaluation of the Efficacy and Threshold of Serum Anti-Mullerian Hormone Levels for Diagnosis and Prediction of Polycystic Ovary Syndrome Among Indian Women
Serum AMH levels are a strong marker for diagnosing PCOS in Indian women.
research Long-Term Outcomes of Intravenous Corticosteroid Pulse Therapy for Rapidly Progressive Alopecia Areata: A Single-Center Retrospective Analysis of 106 Cases and Evaluation of a Scoring System for Extended Periods
Intravenous corticosteroid therapy is effective for long-term hair regrowth in alopecia areata, and a scoring system helps predict treatment success and relapse.
research Effect of Oil, Water, and Surfactant Mixture on the Physicochemical Properties and Transdermal Delivery of Finasteride-Loaded Microemulsions: Evaluation and Prediction Using Response Surface Methodology
A 3:1 surfactant mixture in microemulsions can effectively deliver finasteride through the skin.