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.
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240-270 / 1000+ results 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 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 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 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 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.
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 Uncovering the genetic architecture and evolutionary roots of androgenetic alopecia in African men
The research found that genetic factors for male pattern baldness in African men differ significantly from those in Europeans.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research 42063 Image Quality Assessment using Convolutional Neural Network in Clinical Skin Images
The model can effectively identify good quality skin images but needs more testing for real-world use.
research GPX4 mRNA levels in the PMNs are negatively correlated with autoantibody production, disease activity and lupus alopecia in SLE
Lower GPX4 mRNA levels are linked to higher disease activity and symptoms in lupus patients.
research Effects of Transcutol P and Precirol ATO-5 on Percutaneous Absorption of Flutamide from Emulgels
Flutamide emulgel with 1% Transcutol P absorbs better through the skin than other mixtures.
research Big Self-Supervised Models Advance Medical Image Classification
Self-supervised learning improves medical image classification accuracy.