Devices and Vaccines

Intracardiac Echocardiography-Guided Left Atrial Appendage Occlusion: A Comprehensive Narrative Review.

Intracardiac echocardiography (ICE) is an alternative to transesophageal echocardiography for imaging guidance during left atrial appendage occlusion (LAAO) in patients with atrial fibrillation with intolerance to long-term oral anticoagulation. This narrative review synthesizes contemporary evidence on ICE-guided LAAO. Across observational studies, ICE provides real-time high-resolution imaging e...

First-pass aspiration versus stent retriever thrombectomy: machine learning study of treatment effect heterogeneity.

BACKGROUND: Randomized trials have shown equivocal outcomes between a direct aspiration as first-pass technique (ADAPT) and stent retriever (SR) stroke thrombectomy, yet whether specific patient subgroups benefit differentially from one technique over the other remains unknown. METHODS: In this retrospective multicenter cohort study, patients with large vessel occlusion were included, and those wh...

Optimized IoT clustering and assignment in semi-synchronous federated learning.

This study focuses on the important task of optimizing device clustering and assigning them to edge servers, while also implementing data redistributi...

Model-Guided Optimization of a Low-Serum Medium for Madin-Darby Canine Kidney Cells Using a Kolmogorov-Arnold Network and Bayesian Optimization.

Madin-Darby canine kidney (MDCK) cells are important hosts for cell culture-based viral vaccine production, but fetal bovine serum (FBS) supplementati...

Artificial intelligence-based methods and applications in clinical and diagnostic microbiology: Current challenges and future perspectives.

Microbiology laboratories play a critical role in the diagnosis and management of infectious diseases. However, recent advancements aimed at reducing ...

A large-scale comparative study of YOLO-based detectors for ischemic stroke lesion localization on diffusion-weighted imaging.

Ischemic stroke lesion localization on diffusion-weighted imaging (DWI) remains challenging because acute lesions may be small, faint, irregular, or m...

Machine learning-based prediction of shigellosis in children under five: development and internal validation of a prediction model.

OBJECTIVES: Shigella remains a major cause of diarrhoea and mortality in children under five in low- and middle-income countries, where laboratory con...

Personalized cancer vaccines: bridging immune-oncology and precision medicine for advanced therapeutics.

Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limited efficacy, with Sipuleucel-T remaining the only ...

[Telemetric self-monitoring of intraocular pressure: from vision to reality? : Insights from the EyeMate-SC sensor].

BACKGROUND: The EyeMate-SC (G-Metrics GmbH, Hanover, Germany) is a permanently implantable microsensor positioned in the suprachoroidal space for tele...

A New Tool for a Common Problem: Super-Resolution Deep-Learning Reconstruction for Improving Coronary CTA Diagnosis of In-Stent Restenosis.

Fabric defect detection using fine-tuned Yolo-12.

Defect identification is critical for ensuring the reliability and price of fabrics. Defective fabrics result in significant waste and losses. Automat...

Generalized graph foundation models as versatile data-driven digital twins for complex technological systems.

Digital twins are comprised of computational models that mimic the 'as built' characteristics of devices, systems, and networks of systems whose perfo...

Evaluating the reliability and information quality of ChatGPT responses on vaccine hesitancy: an expert panel study.

BACKGROUND: Vaccine hesitancy is a major public health problem that threatens global immunisation programmes. The use of artificial intelligence-based...

A Unified Flash Memory Platform for Mode-Adaptive and Robust AI Computation.

Computing-in-memory (CIM) architectures offer a promising route toward energy-efficient artificial intelligence by reducing data-movement overhead. Ho...

Patient-Specific Instrumentation Improves Technical Execution Accuracy After Artificial Intelligence-Assisted Preoperative Planning in Medial Unicompartmental Knee Arthroplasty.

BACKGROUND: Artificial intelligence (AI)-assisted preoperative planning may improve anatomic characterization and implant-size prediction in unicompar...

Predicting the absence of World Health Organization fungal priority pathogens in agricultural soils using machine learning and ITS metabarcoding.

Environmental fungal pathogens relevant to human and animal health pose significant risks, particularly in regions with intensive farming and climate ...

Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combo 10.

BACKGROUND: HEDIS Childhood Immunization Status (CIS) Combination 10 is a pediatric quality measure within a widely used health care performance frame...

Development of a Screening Model for Exercise-Induced Desaturation by Machine Learning Method.

BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...

Interface Defects and Recombination in HTL-Free and Bilayer Cs2SnI6 Perovskite Solar Cells: Numerical Modeling and Machine Learning Analysis.

Perovskite solar cells (PSCs) are a promising technology for sustainable energy generation. Among lead-free perovskites, Cs2SnI6 offers high structura...

Multimodal prediction of metachronous liver metastasis in stage I-III colorectal cancer patients: multicenter cohort study employing machine learning.

OBJECTIVE: Postoperative metachronous liver metastasis (MLM) in colorectal cancer (CRC) patients is often difficult to predict using conventional clin...