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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 1660-1680 of 3,937 articles
Optimizing influenza vaccine allocation: A predictive analytics approach for informed public health planning.

PURPOSE: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resource...

Field-Portable Technology for Illicit Drug Discrimination via Deep Learning of Hybridized Reflectance/Fluorescence Spectroscopic Fingerprints.

Novel psychoactive substances (NPS) pose one of the greatest challenges across the illicit drug land...

Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.

Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care...

A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm.

Sentiment analysis of content is highly essential for myriad natural language processing tasks. Part...

Automated Caries Detection Under Dental Restorations and Braces Using Deep Learning.

In the dentistry field, dental caries is a common issue affecting all age groups. The presence of de...

Leveraging Data Pipeline and LLM to Advance Patient Safety Event Studies.

Research utilizing the open-access MAUDE database frequently reveals unclear methodologies for extra...

Generative Deep Learning Design of Single-Domain Antibodies Against Venezuelan Equine Encephalitis Virus.

BACKGROUND/OBJECTIVES: Venezuelan equine encephalitis virus (VEEV) represents a significant biothrea...

An oral norovirus vaccine generates mucosal immunity and reduces viral shedding in a phase 2 placebo-controlled challenge study.

There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gast...

Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions.

Artificial intelligence (AI) is revolutionizing the field of orthopedic bioengineering by increasing...

Color-independent cattle identification using keypoint detection and Siamese neural networks in closed- and open-set scenarios.

Computer vision systems offer identification solutions for animals with distinct coat patterns but a...

Prognostic Value Of Deep Learning Based RCA PCAT and Plaque Volume Beyond CT-FFR In Patients With Stent Implantation.

AIM: The study aims to investigate the prognostic value of deep learning based pericoronary adipose ...

DrIVeNN: Drug Interaction Vectors Neural Network.

Polypharmacy, the concurrent use of multiple drugs to treat a single condition, is common in patient...

Validation of a fingertip home sleep apnea testing system using deep learning AI and a temporal event localization analysis.

STUDY OBJECTIVES: This paper validates TipTraQ, a compact home sleep apnea testing (HSAT) system. Ti...

Device-Driven Service Allocation in Mobile Edge Computing with Location Prediction.

With the rapid deployment of edge base stations and the widespread application of 5G technology, Mob...

Research and application of deep learning object detection methods for forest fire smoke recognition.

Forest fires are severe ecological disasters worldwide that cause extensive ecological destruction a...

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistibl...

Estimation method of dynamic range parameters for cochlear implants based on neural response telemetry threshold.

BACKGROUND: There is a lack of correlation studies between subjective behavioral test threshold and ...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and abili...

Overcoming methodological barriers in electronic nose clinical studies, a simulation data-based approach.

Analysis of volatile organic compounds by electronic nose (e-nose) may address gaps in non-invasive ...

Deep Learning-Assisted Diagnostic System: Implant Brand Detection Using Improved IB-YOLOv10 in Periapical Radiographs.

: Implant brand identification is critical in modern dental clinical diagnostics. With the increasin...

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