September 2023 in “Journal of The American Academy of Dermatology” This review examines YouTube and Instagram content about postpartum hair loss, assessing the sources and potential financial biases without reporting new research findings.
October 2024 in “Frontiers in Immunology” This study proposes that intranasal exposure to PTx and autoantigen in an animal model can trigger autoimmune disease, supporting the idea that subclinical nasal colonization by BP may cause alopecia areata.
6 citations
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April 2021 in “NAR Genomics and Bioinformatics” This study found extensive co-evolution of polyglutamine repeat lengths in neural protein clusters, highlighting their potential role in neurocognitive variation and neuropsychiatric disease development.
September 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” This study found weak epidemiological associations between male pattern baldness and coronary heart disease, but no significant genetic link, though specific loci shared risks with other conditions.
3 citations
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July 2023 in “Nature Communications” This study introduced a multitask learning method to identify shortcut learning in clinical ML systems, revealing it's not always responsible for unfairness and emphasizing the necessity of comprehensive fairness approaches in medical AI.
This study reviewed evidence suggesting that fire needle therapy may be a potential treatment for alopecia areata; however, it concluded that more evidence-based trials are needed to confirm its efficacy and safety.
March 2026 in “Mendeley Data” No results are reported in this dataset abstract, which details supplementary materials for a systematic review and meta-analysis on oral Janus kinase inhibitors' effectiveness and safety in children with alopecia areata, aiming to enhance transparency and interpretation of the main article's findings.
1 citations
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December 2023 in “Environmental pollution” This study quantified around 60 organic pollutants in hair samples from mothers and infants in Spain, finding significant correlations between pollutant levels and factors like residence, dietary habits, and maternal age, with common exposure sources identified for several pollutant classes.
October 2024 in “Frontiers in Pharmacology” This study found that in patients with genetic generalized epilepsies, certain gene variants were linked to differences in valproic acid treatment outcomes, including a higher likelihood of treatment failure, varying serum drug concentrations, and specific side effects like weight gain and hair loss.
12 citations
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February 2021 in “Translational Psychiatry” This study identified two novel genetic variants associated with Alzheimer's disease in APOE ε4 non-carriers, revealing insights into the disease's underlying regulatory mechanisms.
7 citations
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April 2015 in “JAMA Dermatology” This text does not provide any research findings or results from a study.
January 2025 in “Dermatologic Therapy” This study found that the global prevalence of alopecia areata is estimated at 1.93%, affecting around 15.05 million people, with significant regional and demographic variations.
September 2025 in “Bioengineering” In this study, the researchers developed a deep learning framework to pre-emptively screen for adverse drug effects, showing strong predictive performance, including for increased bleeding risks with edoxaban compared to other anticoagulants.
6 citations
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January 2024 in “International Journal of Dermatology” In this study, the researchers used Mendelian randomization to suggest a potential causal link between various gut microbiota and alopecia areata, finding that certain bacteria like Butyricimonas and Phascolarctobacterium may have protective effects, whereas others like Ruminococcaceae UCG003 might increase risk.
6 citations
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August 2023 in “Behavioural and Cognitive Psychotherapy” This study observed that an 8-session mindfulness-based cognitive therapy reduced social anxiety and improved wellbeing in some individuals with alopecia areata, though effectiveness may depend on regular mindfulness practice.
7 citations
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March 2024 in “Scientific Reports” This study reports that the new neighborhood face index (NFI) demonstrates a remarkably high correlation with the physiochemical properties of benzenoid hydrocarbons, highlighting its potential as a predictive tool.
This article reviews the potential link between male androgenetic alopecia and metabolic syndrome, noting the lack of conclusive evidence establishing an association.
This study found that combining finasteride and anastrozole was more effective in preventing and treating benign prostatic hyperplasia in rats than using either drug alone.
January 2023 in “Figshare” This study found that for postmenopausal patients with advanced breast cancer, quality of life, overall survival, and progression-free survival are the most important factors in treatment decisions, while side effects hold less importance.
This study identified four genes related to alopecia areata: GIMAP6 and ALOX15 as risk factors, and GALNT6 and HEG1 as protective factors, noting significant validation differences in GALNT6 and HEG1.
3 citations
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December 2018 in “Meta Gene” This study applied a prediction model based on five SNPs to Russian males with male pattern hair loss, finding a significant association between the AR genomic region and high dihydrotestosterone levels in these patients.
11 citations
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April 2024 in “Allergy Asthma and Clinical Immunology” This study found compelling genetic evidence linking atopic and allergic conditions with the development of alopecia areata, suggesting a need for closer monitoring in affected individuals.
July 2020 in “Bioinformatics and Bioengineering” This study found that multiple genes and pathways, particularly several keratin-associated proteins, may be involved in the molecular pathogenesis of male androgenetic alopecia.
In this study, a Monte Carlo-generated synthetic cohort analysis found that higher simulated cannabis exposure was linked to increased self-assessed hair loss severity and reduced follicular density, suggesting potential connections worth exploring in further clinical research.
September 2023 in “JP Journal of Biostatistics” This study found that a random forest algorithm most effectively detected COVID-19, with high specificity and accuracy, among 10,862 individuals in an Iranian hospital setting.
18 citations
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June 2019 in “Twin research and human genetics” This article describes the 25Up study on psychological and behavioral risk factors for mental illness in Australian twins and their siblings and reports prevalence data for various mental disorders.
23 citations
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July 2018 in “BMC Complementary and Alternative Medicine” This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.