Spatiotemporal modeling of molecular holograms.

Quantifying spatiotemporal dynamics during embryogenesis is crucial for understanding congenital diseases. We developed Spateo (https://github.com/aristoteleo/spateo-release), a 3D spatiotemporal modeling framework, and applied it to a 3D mouse embryogenesis atlas at E9.

Toward a Trauma-Informed Comprehensive School Physical Activity Program: Specifying Feasible Practices Across the School Day.

Background: Many students would benefit from trauma-informed physical activity (PA); however, there is a lack of systematic guidance on incorporating trauma-informed practices across school-based PA opportunities. The purpose of this study was to generate a feasible framework for trauma-informed school-based PA.

Methods: Framework development was guided by a modified Delphi approach, including an exploration phase and an evaluation phase.

The added value of serologic testing: A comparison of influenza incidence among pregnant persons based on molecular-based surveillance versus serologic testing.

Background: We examined the added value of serologic testing for estimating influenza virus infection incidence based on illness surveillance with molecular testing versus periodic serologic testing.

Methods: Pregnant persons unvaccinated against influenza at <28 weeks gestation were enrolled before the 2017 and 2018 influenza seasons in Peru and Thailand. Blood specimens were collected at enrollment and ≤14 days postpartum for testing by hemagglutination inhibition assay for antibodies against influenza reference viruses.

Comparison of DNA methylation based classification models for precision diagnostics of central nervous system tumors.

As part of the advancement in therapeutic decision-making for brain tumor patients at St. Jude Children's Research Hospital (SJCRH), we developed three robust classifiers, a deep learning neural network (NN), k-nearest neighbor (kNN), and random forest (RF), trained on a reference series DNA-methylation profiles to classify central nervous system (CNS) tumor types. The models' performance was rigorously validated against 2054 samples from two independent cohorts.