Global Use, Adaptation, and Sharing of Massive Open Online Courses for Emergency Health on the OpenWHO Platform: Survey Study.

Background: The COVID-19 pandemic demonstrated the global need for accessible content to rapidly train health care workers during health emergencies. The massive open access online course (MOOC) format is a broadly embraced strategy for widespread dissemination of trainings. Yet, barriers associated with technology access, language, and cultural context limit the use of MOOCs, particularly in lower-resource communities.

Safety of Triple-Dose Rifampin in Tuberculosis Treatment: A Systematic Review and Meta-Analysis.

Background: There is growing interest in using high-dose rifampin for tuberculosis treatment. Recent studies suggest that triple-dose rifampin (TDR; ≥30 mg/kg/day) may be unsafe. We updated a systematic review to investigate the safety and efficacy of TDR.

Tissue histology and depuration of per- and polyfluoroalkyl substances (PFAS) from dairy cattle with lifetime exposures to PFAS-contaminated drinking water and feed.

Plasma, milk and tissue samples were collected from 30 dairy cattle (0.4 to 8.9 years of age) with lifetime exposures to perfluoroalkyl substances (PFAS) removed from a PFAS-contaminated farm and provided PFAS-free feed and water.

Accurate and fast segmentation of filaments and membranes in micrographs and tomograms with TARDIS.

It is now possible to generate large volumes of high-quality images of biomolecules at near-atomic resolution and in near-native states using cryogenic electron microscopy/electron tomography (Cryo-EM/ET). However, the precise annotation of structures like filaments and membranes remains a major barrier towards applying these methods in high-throughput. To address this, we present TARDIS ( ransformer-b sed apid imensionless nstance egmentation), a machine-learning framework for fast and accurate annotation of micrographs and tomograms.

Expanding the Agenda for a More Just Genomics.

The integration of genomics into public health and medicine is happening at a faster rate than the accrual of the capabilities necessary to ensure the equitable, global distribution of its clinical benefits. Uneven access to genetic testing and follow-up care, unequal distribution of the resources required to access and participate in research, and underrepresentation of some descent groups in genetic and clinical datasets (and thus uncertain genetic results for some patients) are just some of the reasons to center justice in genomics. A more just genomics is an imperative rooted in the ethical obligations incurred by a publicly funded science that is reliant on human data.