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.
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240-270 / 1000+ resultsresearch 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 Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
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 A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
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 Studies on the Disposition of Finasteride. (I). Absorption, Distribution and Excretion of (14C)finasteride after Single Oral or Intravenous Administration in Rats.
Finasteride has different absorption and metabolism in male and female rats, with higher concentrations in certain organs and mostly excreted through feces.
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 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 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 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 Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
Specific miRNA profiles can help diagnose and treat alopecia areata.
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 Unique Circulating MicroRNA Signatures Distinguish Severe Alopecia Areata from Other Inflammatory Skin Diseases
Unique microRNA patterns can help diagnose and treat severe alopecia areata.
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.
research Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
research Transcriptome analysis of frontal fibrosis alopecia revealed involvement of immune cells and ferroptosis
The research suggests that immune cells and a specific type of cell death called ferroptosis are involved in Frontal fibrosis alopecia.
research Insights From Liquid Chromatography-Mass Spectrometry-Measured Androgens in Indian Women With Polycystic Ovary Syndrome
Androstenedione is better than testosterone for diagnosing PCOS in Indian women.