Search
for
Sort by
Research
420-450 / 1000+ results
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Cross-species amplification of human microsatellite markers in pig-tailed and stump-tailed macaques
Some human genetic markers work for genetic studies in pig-tailed and stump-tailed macaques, which can help in their conservation.
research LB1053 Dysregulation of antioxidant enzyme PRDX5 in alopecia areata
PRDX5 enzyme may contribute to alopecia areata by affecting oxidative stress and autoimmunity.
research The relative effect of monotherapy with 5‐alpha reductase inhibitors and minoxidil for female pattern hair loss: A network meta‐analysis study
Finasteride 5mg daily is the most effective for female pattern hair loss, with higher doses of treatments generally more effective.
research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
research Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research Prioritizing Susceptibility Genes for the Prognosis of Male-pattern Baldness with Transcriptome-wide Association Study
The research identified genes linked to male-pattern baldness and potential drug targets for treatment.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research Situation-Specific Purposes and Epistemic Games: A Framework for Teaching the Evaluation of Causal Information
The framework helps people evaluate scientific information for specific needs.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Altered polyamine profiling in the hair of patients with androgenic alopecia and alopecia areata
The conclusion is that balancing cost and carbon emissions in hybrid power systems is crucial, especially when high reliability is needed, but the model needs to consider all device efficiencies and distribution losses.
research Uncharted waters
New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
research Visually scoring hirsutism
The modified Ferriman-Gallwey method is a useful tool for diagnosing hirsutism.
research Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
Marxan is better for designing Marine Protected Areas in the Eastern English Channel.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT helps understand single-cell gene expression better than current methods.
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 The Price Waterhouse Guide to Financial Management: Tools for Improving Performance
A new method can quickly detect alcohol abuse by analyzing hair in under an hour.