research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
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research Mult-trait analysis of GWAS - Perceived youtfulness - UKBB
The conclusion is that certain traits, including perceived facial aging and BMI, are linked to how youthful people look, with some differences between males and females.
research ISHRS Best Practices Survey Project MODULE: Anesthesia and Emergency SUMMARY ANALYSIS
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research Epidemiology and burden of alopecia areata in Taiwan: a systematic review
Alopecia areata in Taiwan has a high disease burden and needs better research and diagnostic criteria.
research A Simple Decision Tree Suited for Identification of Early Oral Drug Candidates With Likely Pharmacokinetic Nonlinearity by Intestinal CYP3A Saturation
The decision tree can predict drug absorption issues with good accuracy but needs more validation and adjustments for other factors.
research Strategy for Generating Blinded Evidence for Single-Arm Trials with External Controls Using Expert Review of Home Video
A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.
research Decoding precision medicine in prediabetes: a citespace-based bibliometric analysis of current trends and future directions
Precision medicine is crucial for early diagnosis and personalized treatment in prediabetes.
research Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study
Certain herbal combinations in traditional Chinese medicine might be effective for treating hair loss, focusing on liver or stomach health.
research Novel modulatory effects of neurosteroids and benzodiazepines on excitatory and inhibitory neurons excitability: a multi-electrode array recording study
Neurosteroids and benzodiazepines reduce neuron excitability, with lasting effects on inhibitory neurons.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
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 Proteomic Analysis to Identify Prospective Biomarkers of Treatment Outcome After Microvascular Decompression for Trigeminal Neuralgia: A Preliminary Study
Certain proteins might predict surgical success in trigeminal neuralgia treatment.
research Clinical Efficacy of Low-Level Laser Therapy for Androgenic Alopecia: A Meta-Analysis
research Trends and techniques: a statistical review of hair care product evaluation research
Better standardization and transparency in statistical reporting are needed to improve hair care research quality.
research Is It Time to Re-Imagine Clinical Trials in Nephrology?
Metatrials could improve clinical research in nephrology by speeding up data collection and overcoming challenges like patient recruitment.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research Agglomerative clustering-based drugs graded for the risk signals of drug-induced cognitive disorder: a study on the FAERS database
Finasteride is high-risk for cognitive disorders, while Carbidopa/Levodopa, Topiramate, and Clonazepam are moderate-risk.
research In-silico cardiac aging regulatory model including microRNA post-transcriptional regulation
Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
research Multiplex matrix network analysis of protein complexes in the human TCR signalosome
Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
research Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Supplementary materials for AGA
research Supplementary materials for AGA
research Faculty Opinions recommendation of Androgen receptor gene polymorphisms and risk for androgenetic alopecia: a meta-analysis.
Certain gene variations are significantly linked to hair loss, especially in white people.
research A Bibliometric Analysis of Alopecia Areata Literature over the Past 50 Years.
More research is needed on alopecia areata treatments and its psychological effects.
research Development of search strategies for systematic reviews: validation showed the noninferiority of the objective approach
The objective approach for creating search strategies is as effective as the traditional method and might be better and more efficient.
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 Faculty Opinions recommendation of Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria.
PCOS shares similar genetic traits across different diagnosis criteria and is linked to other health conditions.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Image3_Neuropsychiatric Adverse Events of Montelukast: An Analysis of Real-World Datasets and drug−gene Interaction Network.TIFF
Montelukast is linked to increased risks of suicidal thoughts and depression.