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This study analyzed Google Trends data to explore public interest in various alopecia-related terms from 2018 to 2023, finding that search volumes for "androgenetic alopecia" and "frontal fibrosing alopecia" increased, while other terms remained stable, with notable geographic variations in search interest.

This study examined data from the FDA Adverse Event Reporting System and found that finasteride use is linked with both known and previously unlisted adverse events, such as erectile dysfunction and post-5α reductase inhibitor syndrome, with variations observed by age and sex.

This study analyzed FAERS data to explore the risk and onset patterns of autoimmune skin diseases associated with immune checkpoint inhibitors, finding a strong association particularly with bullous pemphigoid and emphasizing the need for vigilant monitoring of these adverse effects.

This study analyzed Google Trends data from 2018 to 2023, revealing an increasing global interest in hair loss treatments, particularly for "oral minoxidil" and "dutasteride," though interest varies by region and treatment type.

In this study, analysis of FDA adverse event reports revealed that topical finasteride was associated with fewer post-finasteride syndrome-like adverse events than oral finasteride, but many reports lack critical data, suggesting caution in attributing causality.

This study conducted a genome-wide association meta-analysis using UK Biobank data to explore genetic correlations with perceived youthfulness, revealing traits linked to this perception among both male and female participants.

This study reports that clinical trials of finasteride for androgenic alopecia provide insufficient and systematically biased safety data, with most participants unrepresentative of those in pivotal trials that led to FDA approval.

This study reports that a new DART-HRMS method can effectively analyze intact hair for drug use timelines, with cocaine detection aligning with forensic standards and identifying multiple drugs from high-resolution data.

Using a multi-omics analysis, this study identified key regulators like PLA2G12A, KRT79, and prostaglandin B2 that influence cashmere fineness, providing crucial data for understanding the molecular mechanisms behind this trait in Liaoning cashmere goats.

This study examined the FDA Adverse Event Reporting System database and found significant associations between low-dose oral minoxidil use and adverse events like pericardial effusion, highlighting the need for caution and recommending the use of the lowest effective dose until more safety data are available.

This study found that the Random Forest machine learning algorithm achieved the highest accuracy, 96%, in diagnosing Polycystic Ovarian Syndrome using patients' clinical data.

This study examined cashmere goats using whole-genome resequencing data and found that the Inner Mongolia cashmere goat had the lowest inbreeding coefficient, with genes identified linked to fiber, fertility, disease resistance, and growth, which can inform future breeding efforts.

This study reported that in the California Ground Squirrel, certain elements bioaccumulate in hair, providing baseline data for environmental health assessments.

This study reports that hedgehog pathway inhibitors, sonidegib and vismodegib, showed distinct adverse event patterns in real-world data, suggesting the need for further research to confirm these findings.

This research aims to evaluate 6-month changes in total and terminal hair density, with data quality assessed using Cochrane risk of bias tools, but does not report specific study results yet.

This study conducted a large-scale comparison using FAERS data to assess the post-marketing safety profiles of spironolactone, eplerenone, and finerenone, finding unique adverse event patterns for each drug and highlighting the need for personalized safety monitoring and further investigation in other pharmacovigilance databases.

This study investigated paternal drug exposure using FDA data and identified significant associations with reproductive health risks, including congenital anomalies linked to immunosuppressive drugs, and emphasized specific risk combinations like biologics and abortion, diazepam and small for date baby, and finasteride and cryptorchidism.

This paper presents a culturally informed protocol designed to improve the collection of hair samples from African Americans for cortisol measurement, illustrating its application with community-based study data.

This study found that concentrations of THCCOOH in hair do not correlate well with self-reported cannabis use due to inaccuracies in the self-reported data, but it provides preliminary insights into usage patterns.

This article discusses the withdrawal of bamlanivimab monotherapy's emergency use authorization in the U.S. due to evolving COVID-19 variants and offers no new clinical data.

This abstract provides information about data availability and author affiliations but does not contain results or conclusions from the study itself.

This cohort study using real-world data found no significant difference in the risk of developing prostate cancer between finasteride and dutasteride among patients with benign prostatic hyperplasia, despite previous suggestions that dutasteride might be more effective.

In this study, researchers proposed a deep learning approach combining genetic, hormonal, scalp health, and lifestyle data to predict hair loss, employing CNNs for image analysis and RNNs for modeling data over time, although specific results are not reported.

This preregistered analysis plan outlines the research questions and methods for a study on maternal hair cortisol and childhood experiences but reports no new data or results.

This review synthesizes data suggesting that managing inflammation and oxidative stress may enhance the effectiveness of PRP therapy for hair regeneration, though standardizing PRP protocols remains challenging.

This study compared the effects of direct heat perms and softening heat perms on hair, analyzing damage and morphological changes to understand their impact on hair fibers and provide foundational data for future research.

This report introduces Barcelona - TrichoScan as a novel software tool purported to effectively analyze hair growth in patients with androgenetic alopecia or androgenetic effluvium, but it provides no clinical data.

This study conducted a meta-analysis and found that men with both frontal and vertex male pattern baldness have a slightly increased risk of developing prostate cancer, though most data was from Caucasian populations and effect modification by genetic variations was not assessed.

This study introduces the Hair Cell Analysis Toolbox (HCAT), a machine-learning software that automates the analysis of cochlear hair cells, enabling unbiased and comprehensive imaging data interpretation.

In this bibliometric analysis, researchers observed that precision medicine approaches, such as individualized interventions and biomarker-guided subtyping, are increasingly integrated into prediabetes research, highlighting shifts toward using multi-omics data and artificial intelligence for patient stratification and prevention strategies.