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Liana Ramos, Marketing Associate

Liana Ramos is a Marketing Associate at JMIR Publications, dedicated to building data-driven systems that connect scholarly content with the communities that need it most. With five years of experience at the intersection of media, publishing, and audience behaviour, she handles automated lifecycle journeys, author recognition programs, and record-scale digital events for JMIR. Passionate about storytelling and digital strategy, she focuses on making open access digital health research discoverable, scalable, and highly engaging.

Honoring the Effort: JMIR Publications Peer Review Recognition Program


Peer review is the heartbeat of scholarly publishing. It requires countless unseen hours of critical reading, deep intellectual effort, and constructive feedback to ensure published research is rigorous, accurate, and trustworthy. Yet, despite being essential to scientific progress, the dedicated effort behind peer review often goes unacknowledged.

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Physical Activity Research in Black and African American Women: Methodological Insights

Physical Activity Research in Black and African American Women: Methodological Insights

African American and Black women report the lowest physical activity levels across demographic groups in the United States, driving elevated rates of preventable cardiometabolic diseases. While researchers increasingly turn to mixed methods to examine how social, cultural, and environmental factors shape exercise behaviors, how effectively are these quantitative and qualitative insights being combined?

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Remote Cognitive Screening in Parkinson Disease: Validating the ORCA-PD Tool

Remote Cognitive Screening in Parkinson Disease: Validating the ORCA-PD Tool

Parkinson disease (PD) is predominantly recognized for its motor symptoms, yet covert cognitive decline affects many patients long before dementia occurs. Traditional in-person cognitive testing presents substantial barriers: severe mobility impairments make traveling to clinics difficult, expert evaluations suffer from long waitlists, and screening tools like the Montreal Cognitive Assessment (MoCA) rely heavily on fine motor tasks like drawing, which can confound cognitive scores.

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Retraining the Algorithm: How Expert Eyes Correct EMR Errors in Maternal Care

Retraining the Algorithm: How Expert Eyes Correct EMR Errors in Maternal Care

Postpartum hemorrhage (PPH) remains a leading cause of maternal morbidity worldwide, with blood transfusion rates hovering around 2% to 2.7%. While discussing these risks is a vital component of antenatal informed consent and shared decision-making, translating historical medical records into an accurate personal risk profile is notoriously difficult.

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The Human Copilot: Training Medical Faculty for the GenAI Classroom

The Human Copilot: Training Medical Faculty for the GenAI Classroom

The rapid rise of generative artificial intelligence (GenAI) has created powerful new instructional opportunities alongside major pedagogical questions. While tools like ChatGPT can enhance lesson planning, case scenario design, and assessment development, many medical educators face a steep learning curve. Without structured guidance, integrating these fast-evolving and context-sensitive tools into high-stakes, discipline-specific medical curricula carries significant risks.

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