Nanoparticles Codelivering mRNA and SiRNA for Simultaneous Restoration and Silencing of Gene/Protein Expression In Vitro and In Vivo.

RNA-based agents (siRNA, miRNA, and mRNA) can selectively manipulate gene expression/proteins and are set to revolutionize a variety of disease treatments. Nanoparticle (NP) platforms have been developed to deliver functional mRNA or siRNA inside cells to overcome their inherent limitations. Recent studies have focused on siRNA to knock down proteins causing drug resistance or mRNA technology to introduce tumor suppressors.

Prospective Validation of a Pre-Specified Algorithm for the Management of Conduction Disturbances Following Transcatheter Aortic Valve Replacement. The PROMOTE Study.

Background: There is a large variability regarding the management of conduction disturbances (CDs) after TAVR.

Objectives: To validate a pre-specified algorithm for managing CDs in patients undergoing TAVR.

Methods: Prospective multicenter study including consecutive patients without prior pacemaker undergoing TAVR.

Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Large language models (LLMs) are generative artificial intelligence models that create content on the basis of the data on which it was trained. Processing capabilities have evolved from text only to being multimodal including text, images, audio, and video features. In health care settings, LLMs are being applied to several clinically important areas, including patient care and workflow efficiency, communications, hospital operations and data management, medical education, practice management, and health care research.

Large Scale Raman Spectrum Calculations in Defective 2D Materials using Deep Learning.

We introduce a machine learning prediction workflow to study the impact of defects on the Raman response of 2D materials. By combining the use of machine-learned interatomic potentials, the Raman-active $\Gamma$-weighted density of states method and splitting configurations in independant patches, we are able to reach simulation sizes in the tens of thousands of atoms, with diagonalization now being the main bottleneck of the simulation. We apply the method to two systems, isotopic graphene and defective hexagonal boron nitride, and compare our predicted Raman response to experimental results, with good agreement.

Applications of Artificial Intelligence for Health Care Providers.

Recent research shows that physicians lack the knowledge and ability to use artificial intelligence (AI) effectively. We thus introduce a new series of articles, "Applications of Artificial Intelligence for Health Care Providers." Like the arthroscope, AI is a powerful tool, and we must adapt our skills to effectively incorporate and apply this tool in our practices.