Interest in digital health tools for miscarriage support: A qualitative assessment of Canadian women facing early pregnancy loss.

Background: Early pregnancy loss (EPL) occurs in 10%-15% of all pregnancies but remains an underrecognized and undertreated condition. In Canada, resources to support individuals and their partners facing EPL remain scarce despite a high burden of psychosocial sequelae. Digital health tools hold the potential to fill important gaps in reproductive healthcare.

Digital Health Tools for Miscarriage Support: A Survey of Canadian Women Facing Early Pregnancy Loss.

Objectives: Early pregnancy loss (EPL) affects 1 in 4 recognised pregnancies, yet often lacks patient-centred supportive care. This study assesses the feasibility and acceptance of a digital health tool to support those affected by EPL. The objectives are to (1) understand the experiences of those who have miscarried, (2) explore their methods of accessing health information, and (3) determine their preferences regarding digital tool content and design.

Aya Contigo: evaluation of a digital intervention to support self-managed medication abortion in Venezuela.

Background: Venezuela continues to face a humanitarian crisis, where healthcare is difficult to access and abortion is legally restricted. In response to a growing need for life-saving abortion and sexual and reproductive health (SRH) services, a digital application called Aya Contigo was co-developed with local partners to support self-managed medication abortion. We sought to evaluate this digital health tool among pregnant people seeking abortion in Venezuela.

Tracking clonal evolution of drug resistance in ovarian cancer patients by exploiting structural variants in cfDNA.

Drug resistance is the major cause of therapeutic failure in high-grade serous ovarian cancer (HGSOC). Yet, the mechanisms by which tumors evolve to drug resistant states remains largely unknown. To address this, we aimed to exploit clone-specific genomic structural variations by combining scaled single-cell whole genome sequencing with longitudinally collected cell-free DNA (cfDNA), enabling clonal tracking before, during and after treatment.

Natural history of shedding and household transmission of severe acute respiratory syndrome coronavirus 2 using intensive high-resolution sampling.

Importance: The COVID-19 pandemic has led to 775 million documented cases and over 7 million deaths worldwide as of March 2024 and is an ongoing health crisis. To limit viral spread within households and in the community, public health officials have recommended self-isolation, self-quarantine of exposed household contacts, and mask use. Yet, risk of household transmission (HHT) may be underestimated due to low frequency of sampling, and risk factors for HHT are not well understood.