Kelly A. Hogan Ph.D.

Until @NCBI provides a Bluesky share link, I will continue posting articles related to the hashtags in my profile on @X . In the meantime, check out my new beginning! 👇👇 bsky.app/profile/loosel…

Could Lithium Treat Alzheimer Disease? jamanetwork.com/journals/jama/…

AI and the PhD student: friend or foe? nature.com/articles/d4158…

Analysis: Why the research money isn’t flowing from NSF and NIH | Science science.org/content/articl…

See which jobs are most threatened by AI, and who may be able to adapt washingtonpost.com/technology/int…

Hormone therapy and dementia risk: what a new study says about menopause treatment theconversation.com/hormone-therap…

Creating a responsible authorship culture in science: Anchoring authorship practices in principles of transparency, credit, and accountability pnas.org/doi/10.1073/pn…

Estropausal gut microbiota transplant improves measures of ovarian function in adult mice nature.com/articles/s4358…

If Medical Schools Can Make Room for Nutrition, Why Not Women's Health? medpagetoday.com/opinion/second…

Docs in All Specialties Need More Menopause Education, Experts Say medpagetoday.com/obgyn/hrt/1203…

📊 Too much global development data still lives in spreadsheets. But modern analysis requires data acquisition as code. Today I’m pleased to share that the unicefData R package is now available on CRAN, providing direct programmatic access to the UNICEF Data Warehouse. Researchers, policymakers, and analysts can now retrieve 700+ internationally comparable indicators on children and women directly from R — enabling reproducible analytics, transparent workflows, and faster evidence generation. Install install.packages("unicefData") Example library(unicefData) df <- unicefData( indicator = "CME_MRY0T4", countries = c("BRA","USA","IND"), year = "2015:2023" ) Why this matters Reliable evidence depends not only on good data, but also on how easily that data can be accessed, reproduced, and reused. The unicefData package helps bridge the gap between official statistics and modern data science workflows by enabling: • Access to 700+ indicators across countries and years • Integration with reproducible research pipelines • Use of SDMX international statistical standards • Consistent interfaces across R, Python, and Stata Making official statistics more accessible, reproducible, and interoperable is an important step toward strengthening evidence for policies that improve outcomes for children. 📦 CRAN cran.r-project.org/package=unicef… #OpenData #OfficialStatistics #RStats #DataForChildren #ReproducibleResearch

Cell-type-specific transposon demethylation and TAD remodeling in aging mouse brain cell.com/cell/fulltext/…

Brain Atlas Maps Epigenetic Changes Associated with Aging in Mice genengnews.com/topics/omics/b…

Childhood oral health is associated with the incidence of atherosclerotic cardiovascular disease in adulthood internationaljournalofcardiology.com/article/S0167-…

Asprosin Levels Linked to Weight Change in Postmenopausal Women insideprecisionmedicine.com/topics/precisi…

Gut Microbes Contribute to Age-Related Cognitive Decline insideprecisionmedicine.com/topics/precisi…

Plasma Phosphorylated Tau 217 and Incident MCI and Dementia in Older Women jamanetwork.com/journals/jaman…

Research is set up for bullies to thrive nature.com/articles/d4158…

Competitive-SELEX discovery of DNA aptamers selective for neurofilament light chain in human plasma sciencedirect.com/science/articl…

Cancer Incidence in Women After Medically Assisted Reproduction jamanetwork.com/journals/jaman…

Some Cancers May Be Slightly Elevated in Women Who've Had Fertility Treatment medpagetoday.com/obgyn/infertil…