@epitalk-btp.bsky.social

Dr. Patrick Sullivan, Editor-in-Chief, is joined by co-guest and recent graduate from the University of Texas, Dr. Priya Thomas, to discuss her paper, "Disentangling Race and Ethnicity in Predicting Symptoms of Depression among Young Adults: A Machine Learning Approach.”

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@annalsofepi.bsky.social We are excited to share that our 2025 Impact Factor is 3.6! We want to extend our appreciation to our editorial board members, authors, peer-reviewers, and readers. We are excited to continue to publish groundbreaking papers and advance epidemiological research.

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AI-Driven Insights into Breast Cancer Risk: A Focus on Racial Disparities How do predictive factors for breast cancer vary across racial groups? Using machine learning, this research uncovers critical variables associated with breast cancer prevalence and outcomes.

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A new publication from author Dr. Kaitlyn Stanhope and her co-authors discuss postpartum care: EMR and patient disagreement Findings include: Self-reported and EMR-documented postpartum care agreed only about 75% of the time. Agreement was lower for counseling and screening.

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New Episode Alert! This episode, we are featuring Dr. Alexandra Zimmer to discuss her riveting publication "Cough acoustic analysis using artificial intelligence for COVID-19 detection: A comparative study of patient cohorts from Lima, Peru and Montreal, Canada.”

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🎉Dr. Derek Ng joins EPITalk host and co-author, Dr. Patrick Sullivan to explore whether a neural-network model utilizing two blood biomarkers can more accurately estimate kidney function in pediatric chronic kidney disease than current standard equations. Listen here: buzzsprout.com/2195469/epis...

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