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Devices and Vaccines

Latest AI and machine learning research in devices and vaccines for healthcare professionals.

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Showing 1597-1617 of 3,937 articles
An ontology-based annotation of cardiac implantable electronic devices to detect therapy changes in a national registry.

The patient population benefitting from cardiac implantable electronic devices (CIEDs) is increasing...

Recovery of walking ability using a robotic device in subacute stroke patients: a randomized controlled study.

PURPOSE: This study investigates the effectiveness of Lokomat + conventional therapy in recovering w...

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, t...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

AI-driven optimization of spinal implant design using parametric modelling.

This study aimed to enhance vertebral implant design by using a parametric spine model and advanced ...

Towards proactively improving sleep: machine learning and wearable device data forecast sleep efficiency 4-8 hours before sleep onset.

Wearable devices with sleep-tracking functionalities can prompt behavioral changes to promote sleep,...

Broadly active intranasal influenza vaccine with a nanocomplex particulate adjuvant targeting mast cells and toll-like receptor 9.

Flumist is the only FDA-approved intranasal influenza vaccine. Although it has recently been approve...

VaxPulse: Active Global Vaccine Infodemic Risk Assessment.

Vaccine infodemics, driven by misinformation, disinformation, and inauthentic online behaviours, pos...

Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models.

This study evaluates fine-tuned Llama 3.2 models for extracting vaccine-related information from eme...

Large Language Models Can be Good Medical Annotators: A Case Study of Drug Change Detection in Japanese EHRs.

In this study, we combined automatically generated labels from large language models (LLMs) with a s...

Role of AI in Clinical Decision-Making: An Analysis of FDA Medical Device Approvals.

The U.S. Food and Drug Administration (FDA) plays an important role in ensuring safety and effective...

Lower Extremity Bypass Surveillance and Peak Systolic Velocities Value Prediction Using Recurrent Neural Networks.

Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-ped...

Comprehensive Prediction of the Relative Modulus of Strut-Based Gyroid Lattice Structures Employing an ML-Based Surrogate Model.

Due to its porous structure, tunable properties, and nearly isotropic characteristics, the Gyroid La...

AI in Orthopedic Research: A Comprehensive Review.

Artificial intelligence (AI) is revolutionizing orthopedic research and clinical practice by enhanci...

Assessing real-life food consumption in hospital with an automatic image recognition device: A pilot study.

BACKGROUND AND AIMS: Accurate dietary intake assessment is essential for nutritional care in hospita...

SARS-CoV-2: lessons in virus mutation prediction and pandemic preparedness.

The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary ef...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential...

Beyond Accuracy: Evaluating certainty of AI models for brain tumour detection.

Brain tumors pose a severe health risk, often leading to fatal outcomes if not detected early. While...

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