Online Misleading Information About Women's Reproductive Health: A Narrative Review.

Misinformation about reproductive health threatens to harm health outcomes, compromise medical trust, and enable misinformed policy restrictions. In recent years, reproductive health misinformation has proliferated online due to ideological campaigns and limited content moderation for reproductive health topics. Developing evidence-based practices to counter reproductive health misinformation requires an understanding of the content that women are exposed to online, which is currently lacking.

"That's not how abortions happen": a qualitative study exploring how young adults navigate abortion misinformation in the post-Roe era.

Background: Misinformation about abortion is widespread and was exacerbated by the overturn of . Young adults are among those facing the most direct impacts of new abortion restrictions and are more likely to access health information from online sources, where misinformation is prevalent. We explored how young adults perceive and evaluate abortion-related information in a time of heightened abortion restrictions.

Future Fertility Among Pediatric Cancer Patients: Experiences and Perspectives of Health Workers in a Low-Resource Setting.

Although fertility preservation for patients with childhood and adolescent cancer is considered standard of care in the high-resource settings, it is rarely offered in low-resource settings. This study explores the experiences and perspectives of oncology health care professionals in Uganda to identify contextual barriers and facilitators to addressing oncofertility in low-resource settings. Using ground theory, we conducted in-depth face-to-face interviews of health care professionals managing pediatric patients at the Uganda Cancer Institute (UCI).

Abortion needs expressed on Reddit after the Dobbs v. Jackson Women's Health Organization decision in the United States.

Context: Women, transgender men, and gender non-binary individuals facing unwanted pregnancy use online resources for abortion information. We sought to determine the informational and emotional needs that those seeking abortion information on Reddit expressed immediately following the Dobbs v. Jackson Women's Health Organization (Dobbs) decision in the United States.

Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed.

Rare diseases affect between 25 and 30 million people in the United States, and understanding their epidemiology is critical to focusing research efforts. However, little is known about the prevalence of many rare diseases. Given a lack of automated tools, current methods to identify and collect epidemiological data are managed through manual curation.