Devices and Vaccines

Impacts of delayed influenza vaccination on clinical outcomes in ICU-admitted patients with influenza: A retrospective cohort study.

BACKGROUND: Influenza vaccination is an effective measure for reducing the risk of severe influenza infection. However, the task of achieving adequate vaccination rates remains a global challenge. It is unclear whether delayed influenza vaccination is useful for influenza patients. We conducted this study to investigate whether delayed vaccination can reduce mortality in these patients. METHODS: T...

Integrated single-cell analyses of affinity-tested B cells enable the identification of a gene signature to predict antibody affinity.

Advancements in single-cell technologies and deep sequencing have expanded the B cell repertoire available for antibody discovery. However, selecting the highest-affinity antibodies from many sequences remains challenging, reflecting our incomplete understanding of the mechanisms sustaining affinity maturation and associated molecular markers. Here, we generated datasets of antigen-specific B cell...

Protocol for Personalised Prediction of Persistent Postsurgical Pain.

INTRODUCTION: Persistent postsurgical pain (PPSP) affects up to 15% of patients after major surgery, impairing physical function, quality of life and ...

Comparison of choroidal hypertransmission and retinal pigment epithelium loss for quantification of geographic atrophy across commonly used SD-OCT devices.

To compare the consistency of choroidal hypertransmission (HT) and retinal pigment epithelium (RPE) loss area measurements among three commonly used s...

Validation and longitudinal trajectory analysis of an AI-based ECG model for aortic stenosis: from community screening to pre-TAVR risk stratification.

AIMS: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversib...

Predicting genetic evolution of viruses to identify suitable vaccines using artificial intelligence.

The evolution of the viruses is rapidly becoming a global challenge to the creation of vaccines since the new variants are often capable of escaping t...

Development of a Machine-Learning Model for Predicting Postoperative Complication Occurrence After Radical Gastrectomy Using Electronic Medical Records.

This study aims to develop a machine-learning model using electronic medical records to predict postoperative complications after radical gastrectomy ...

Generative Artificial Intelligence Applications Use Among US Youth.

IMPORTANCE: As generative artificial intelligence (GenAI) tools become increasingly integrated into the daily lives of youth, it is critical to study ...

Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables.

BACKGROUND: Despite progress in childhood vaccination, many children in low- and middle-income countries, including Ethiopia, remain unvaccinated, pre...

Identification of severe hypoglycemia in adults with type 1 diabetes using CGM-based machine learning: evidence from the FGM-Japan study.

BACKGROUND: Severe hypoglycemia (SH) in adults with type 1 diabetes mellitus (T1DM) is associated with significant morbidity and mortality; however, i...

Establishment and validation of a machine learning model to stratify malnutrition risk in hospitalized older patients with chronic heart failure.

BACKGROUND AND OBJECTIVES: Malnutrition among older hospitalized adults with chronic heart failure (CHF) is associated with adverse clinical outcomes,...

Identification of Reproducible CT-Image Based Radiomic Features That Predict Shoulder Arthroplasty Outcomes.

The goal of this radiomic analysis is to quantify the sensitivity of radiomic features on computed tomography (CT) image pre-processing parameters and...

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitting corneal topography patterns and predict axial l...

Accelerating the Exploration of Top Interface Passivators via Machine Learning for High-Performance Perovskite Solar Cells.

Interface passivation at the perovskite/electron-transport-layer (ETL) is key to reducing defects in perovskite solar cells (PSCs), yet the broad chem...

Machine learning-driven identification of serotype-independent pneumococcal vaccine candidates using samples from human infection challenge studies.

Identifying conserved, immunogenic proteins that confer protection against Streptococcus pneumoniae (pneumococcus) colonization could enable developme...

IL2Pepscan: a machine learning framework for predicting IL-2 inducing peptides and their identification across global viral proteomes.

Interleukin-2 (IL-2) is a pivotal cytokine involved in regulating immune responses, particularly in the activation and proliferation of T cells. Inter...

Constructing a comprehensive nursing risk assessment model for older adults inpatients with multiple chronic conditions: A multicenter cross-sectional study.

AIM: To build a comprehensive nursing risk model for older adults inpatients with multiple chronic conditions to identify nursing risks. METHOD: This ...

Evaluation of six large language models for study identification in an obstetric systematic review.

BACKGROUND: Identifying eligible studies is a foundational component of systematic reviews, requiring careful interpretation of complex inclusion and ...

Highly efficient and durable Th1-biased protective immunity from a novel mRNA vaccine against RSV via AI-assisted antigen screening.

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness, imposing a significant burden on global health and society. Here, ...

Comparison of the accuracy of Robotic arm and Dynamic Navigation in the placement of mandibular dental implants: An in-vitro study.

OBJECTIVE: To compare the spatial accuracy between Robotic Computer-Assisted implant Surgery (R-CAIS) and Dynamic Computer-Assisted Implant Surgery (D...