A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting.

Background: Multianalyte machine learning (ML) models can potentially identify previously undetectable wrong blood in tube (WBIT) errors, improving upon current single-analyte delta check methodology. However, WBIT detection model performance has not been assessed in a real-world, low-prevalence context. To estimate real-world positive predictive values, we propose a methodology to assess WBIT detection models by evaluating the impact of missing data and by using a "low prevalence" validation data set.

Evolution in the Surgical Management of Gastric Cancer Peritoneal Metastases.

Despite therapeutic treatments and the growing utilization of multimodal therapies, gastric cancer (GC) remains a highly aggressive malignancy with high mortality worldwide. Much of the complexity in treating GC is due to the high incidence of peritoneal metastasis (PM), with mean overall survival typically ranging from 4 to 10 months. With current systemic therapy, targeted therapies, and immunotherapies continuing to remain ineffective for GC/PM, there has been a significant growing interest in intraperitoneal (IP) therapies for the treatment of GC/PM.

Validation and performance of microvue sC5b-9 plus ELISA on the Dynex DS2 platform.

Background: The complement membrane attack complex involves C5b-mediated assembly of C6-C9 polymers to form pores in cell membranes during complement activation. Inactive complexes can become soluble C5b-9 (sC5b-9) when they bind to Protein S. Elevated sC5b-9 levels are associated with increased risk of hematopoietic stem cell transplant-associated thrombotic microangiopathy (TA-TMA), a serious condition which can be improved with eculizumab therapy.

Clustered warming tolerances and the nonlinear risks of biodiversity loss on a warming planet.

Anthropogenic climate change is projected to become a major driver of biodiversity loss, destabilizing the ecosystems on which human society depends. As the planet rapidly warms, the disruption of ecological interactions among populations, species and their environment, will likely drive positive feedback loops, accelerating the pace and magnitude of biodiversity losses. We propose that, even without invoking such amplifying feedback, biodiversity loss should increase nonlinearly with warming because of the non-uniform distribution of biodiversity.

Turbulence in the tropical stratosphere, equatorial Kelvin waves, and the quasi-biennial oscillation.

The tropical stratosphere is the gateway to the global stratosphere and a commonly proposed location for solar geoengineering. The dynamics of this remote and difficult to observe region are poorly understood, particularly at turbulent length scales. Existing observational estimates of turbulence frequency and strength vary widely.