Comparisons of Risk Scores for Infective Endocarditis Surgery: A Meta-Analysis.

While multiple scoring systems exist to predict mortality in cardiac surgery, their utility in infective endocarditis (IE) remains uncertain, prompting this study to compare their prognostic accuracy. We conducted a comprehensive review using Ovid Medline, Embase, and Cochrane Central Register of Controlled Trials. Data were pooled using Open-Meta[Analyst] software, and calibration analysis was performed with Review Manager 5.

Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy.

Ionizable lipids are a key component of lipid nanoparticles, the leading nonviral messenger RNA delivery technology. Here, to advance the identification of ionizable lipids beyond current methods, which rely on experimental screening and/or rational design, we introduce lipid optimization using neural networks, a deep-learning strategy for ionizable lipid design. We created a dataset of >9,000 lipid nanoparticle activity measurements and used it to train a directed message-passing neural network for prediction of nucleic acid delivery with diverse lipid structures.

Zwitterionic Polymer-Functionalized Lipid Nanoparticles for the Nebulized Delivery of mRNA.

Lipid nanoparticles (LNPs) have great potential to enable inhaled delivery of mRNA to treat pulmonary diseases. However, this potential has been limited by the challenge of nebulizing the LNPs. Nebulization of LNPs can cause LNPs to aggregate and release encapsulated mRNA, limiting their delivery efficacy.

Sub-cone visual resolution by active, adaptive sampling in the human foveola.

The foveated architecture of the human retina and the eye's mobility enables prime spatial vision, yet the interplay between photoreceptor cell topography and the constant motion of the eye during fixation remains unexplored. With in vivo foveal cone-resolved imaging and simultaneous microscopic photo stimulation, we examined visual acuity in both eyes of 16 participants while precisely recording the stimulus path on the retina. We find that resolution thresholds were correlated with the individual retina's sampling capacity, and exceeded what static sampling limits would predict by 18%, on average.