Getting the numbers right: Power, creativity and 'good' routine maternal and neonatal health data in Southern Tanzania.

What makes routine maternal and neonatal health data to be 'good quality'? That depends on whom you ask - the people collecting and reporting these data across health system levels have different priorities and face varying constraints. Data are constructed by people, about people, and they both reflect and impact human interactions. This study analyses the power dynamics shaping how routine health data are collected and reported in labour wards of two hospitals in Southern Tanzania.

Predicting population-level vulnerability among pregnant women using routinely collected data and the added relevance of self-reported data.

Recognizing and addressing vulnerability during the first thousand days of life can prevent health inequities. It is necessary to determine the best data for predicting multidimensional vulnerability (i.e.

Experiences and perceptions of a perinatal eRegistry in two hospitals in Mtwara region, Tanzania.

Introduction: Digital data systems have the potential to improve data quality and provide individual-level information to understand gaps in the quality of care. This study explored experiences and perceptions of a perinatal eRegistry in two hospitals in Mtwara region, Tanzania. Drawing from realist evaluation and systems thinking, we go beyond a descriptive account of stakeholders' experiences and provide insight into key structural drivers and underlying social paradigms.

Divergent WNT signaling and drug sensitivity profiles within hepatoblastoma tumors and organoids.

Hepatoblastoma, the most prevalent pediatric liver cancer, almost always carries a WNT-activating CTNNB1 mutation, yet exhibits notable molecular heterogeneity. To characterize this heterogeneity and identify novel targeted therapies, we perform comprehensive analysis of hepatoblastomas and tumor-derived organoids using single-cell RNA-seq/ATAC-seq, spatial transcriptomics, and high-throughput drug profiling. We identify two distinct tumor epithelial signatures: hepatic 'fetal' and WNT-high 'embryonal', displaying divergent WNT signaling patterns.