Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9466989 | PMC |
| http://dx.doi.org/10.1016/j.neuron.2022.07.021 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images.
J Pathol Inform
January 2025
Department of Community Medicine, Uit The Arctic University of Norway, Tromsø, Norway.
Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for molecular subtyping, IHC can be subjective, and gene profiling is costly and not widely accessible in many regions. Previous approaches have highlighted the potential application of deep learning models on hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) for molecular subtyping, but these efforts vary in their methods, datasets, and reported performance.
View Article and Find Full Text PDFValidation and Final Results from the First Cardiac Lead Post-Approval Study Using Real-World Data.
Pragmat Obs Res
December 2024
BIOTRONIK Inc., Lake Oswego, OR, 97035, USA.
Background: As part of Electrophysiology Predictable and Sustainable Implementation of National Registries (EP PASSION), a multi-stakeholder collaboration between the US Food and Drug Administration (FDA), academic and society partners, and cardiovascular implantable electronic device manufacturers, a 5-year bradycardia lead study transitioned from a traditional post-approval study (PAS) to a real-world data (RWD) approach using a novel method to evaluate chronic cardiac lead complications.
Methods: Lead complications were identified using a combination of diagnosis and procedure codes from 2013 to 2020 fee-for-service Medicare claims data along with BIOTRONIK device registration and Medical Device Reporting data from patients implanted between 2013 and 2015 with a Solia S lead. A proof-of-concept analysis was performed using McNemar's test to compare lead complications reported in the traditional PAS with lead complications identified in the RWD.
Impact of learning health systems on cross-system collaboration between youth legal and community mental health systems: a type II hybrid effectiveness-implementation trial.
Implement Sci Commun
December 2024
Department of Pediatrics, Indiana University School of Medicine, 410 West 10th St., Indianapolis, IN, 46202, USA.
Background: Youth involved in the legal system have disproportionately higher rates of problematic substance use than non-involved youth. Identifying and connecting legal-involved youth to substance use intervention is critical and relies on the connection between legal and behavioral health agencies, which may be facilitated by learning health systems (LHS). We analyzed the impact of an LHS intervention on youth legal and behavioral health personnel ratings of their cross-system collaboration.
View Article and Find Full Text PDFEffects of ALS-associated 5'tiRNA on the transcriptomic and proteomic profile of primary neurons in vitro.
Exp Neurol
December 2024
Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 123 St. Stephen's Green, Dublin, Ireland; FutureNeuro Research Ireland Centre, Royal College of Surgeons in Ireland, Dublin, Ireland. Electronic address:
tRNA-derived stress-induced RNAs (tiRNAs) are a new class of small non-coding RNA that have emerged as important regulators of cellular stress responses. tiRNAs are derived from specific tRNA cleavage by the stress-induced ribonuclease angiogenin (ANG). Loss-of-function mutations in the ANG gene are linked to amyotrophic lateral sclerosis (ALS), and elevated levels of specific tiRNAs were recently identified in ALS patient serum samples.
View Article and Find Full Text PDFQuantum Electrodynamics in High-Harmonic Generation: Multitrajectory Ehrenfest and Exact Quantum Analysis.
J Chem Theory Comput
December 2024
Max Planck Institute for the Structure and Dynamics of Matter, Luruper Ch 149, Hamburg 22761, Germany.
High-harmonic generation (HHG) is a nonlinear process in which a material sample is irradiated by intense laser pulses, causing the emission of high harmonics of incident light. HHG has historically been explained by theories employing a classical electromagnetic field, successfully capturing its spectral and temporal characteristics. However, recent research indicates that quantum-optical effects naturally exist or can be artificially induced in HHG, such as entanglement between emitted harmonics.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!