When common cognitive biases impact debriefing conversations.

Healthcare debriefing is a cognitively demanding conversation after a simulation or clinical experience that promotes reflection, underpinned by psychological safety and attention to learner needs. The process of debriefing requires mental processing that engages both "fast" or unconscious thinking and "slow" intentional thinking to be able to navigate the conversation. "Fast" thinking has the potential to surface cognitive biases that impact reflection and may negatively influence debriefer behaviors, debriefing strategies, and debriefing foundations.

Discovery of Potent and Selective Pyridone-Based Small Molecule Kinetic Stabilizers of Amyloidogenic Immunoglobulin Light Chains.

Kinetic stabilization of amyloidogenic immunoglobulin light chains (LCs) through small molecule binding may become the first treatment for the proteinopathy component of light chain amyloidosis (AL). Kinetic stabilizers selectively bind to the native state over the misfolding transition state, slowing denaturation. Prior λ full-length LC dimer (FL LC) kinetic stabilizers exhibited considerable plasma protein binding.

Impact of scheduled partial exchange transfusions on outcomes in pregnant patients with severe sickle cell disease: a retrospective study.

Introduction: The incidence of feto-maternal complications is high in women with sickle cell disease. The paucity of high-quality evidence has led to conditional recommendations for transfusional support in pregnant patients. This study aimed to assess if scheduled partial red cell exchanges impact pregnancy outcomes in sickle cell disease patients.

RNA lipid nanoparticles as efficient in vivo CRISPR-Cas9 gene editing tool for therapeutic target validation in glioblastoma cancer stem cells.

In vitro and ex-vivo target identification strategies often fail to predict in vivo efficacy, particularly for glioblastoma (GBM), a highly heterogenous tumor rich in resistant cancer stem cells (GSCs). An in vivo screening tool can improve prediction of therapeutic efficacy by considering the complex tumor microenvironment and the dynamic plasticity of GSCs driving therapy resistance and recurrence. This study proposes lipid nanoparticles (LNPs) as an efficient in vivo CRISPR-Cas9 gene editing tool for target validation in mesenchymal GSCs.