research Hair Growth Promoting Activity of Cedrol Nanoemulsion in C57BL/6 Mice and Its Bioavailability
Cedrol Nanoemulsion was found to be more effective at promoting hair growth than traditional treatments and had better bioavailability.
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270-300 / 1000+ results research The Percentage of Free PSA and Urinary Markers Distinguish Prostate Cancer from Benign Hyperplasia and Contribute to a More Accurate Indication for Prostate Biopsy
% free PSA and urinary markers help better identify prostate cancer.
research Dihydroartemisinin loaded nanostructured lipid carriers (DHA-NLC): evaluation of pharmacokinetics and tissue distribution after intravenous administration to rats.
DHA-NLC may improve drug delivery and reduce side effects for cancer treatment.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Development of a Carvedilol-Loaded Solid Self-Nanoemulsifying System with Increased Solubility and Bioavailability Using Mesoporous Silica Nanoparticles
The new system greatly improves carvedilol's solubility and effectiveness.
research Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research Predicting Human Appearance from DNA for Forensic Investigations
DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research [Determination of finasteride in human plasma by HPLC-MS].
The two finasteride formulations are bioequivalent.
research Diagnostic value of the diagonal earlobe crease in combination with lipoprotein(a) in coronary heart disease
Diagonal earlobe crease and lipoprotein(a) together help diagnose coronary heart disease.
research Food Administration and Not Genetic Variants Causes Pharmacokinetic Variability of Tadalafil and Finasteride
Food intake, not genetics, affects how the body processes tadalafil and finasteride.
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 BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
research Estimating the Effect of Finasteride on Kallikrein Marker Levels in Blood and the Use of Converted Markers in the Four-Kallikrein Model
Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.
research Hair metal dysregulation in Parkinson’s disease: Implications for diagnosis and gut-brain axis involvement
Hair metal analysis may help diagnose Parkinson's disease and suggests gut involvement.
research A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
A new model helps predict treatment success in girls with early puberty.
research Analysis of metabolic characteristics of epristeride in zebrafish based on LC-Q-TOF MS and its potential applications in doping control
Epristeride's metabolism in zebrafish helps improve doping detection methods.
research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Evaluation of NF-κB as a Novel Serum Biomarker in Androgenetic Alopecia Patients: A Case–Control Study
NF-κB levels can help diagnose and assess the severity of androgenetic alopecia.
research Diagnostic Significance of MIG (Monokine Induced by Gamma Interferon) and IP-10 (Interferon gamma-induced protein 10) Chemokines in Alopecia Areata
Higher levels of MIG and IP-10 may help diagnose and monitor Alopecia Areata.
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 investigation of immune-related biomarkers related to alopecia areata subtypes
Alopecia areata is linked to immune system differences, with specific biomarkers like CXCL9 and CXCL10 being key for diagnosis and potential treatment targets.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Research on the correlation between rash and complement C3, C4 levels and the occurrence and development of lupus nephritis
Absence of skin rash and low complement C3 levels increase the risk of lupus nephritis.