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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 988-1008 of 3,926 articles
Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm.

Lipid nanoparticle (LNP) is commonly used to deliver mRNA vaccines. Currently, LNP optimization prim...

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine G...

Forecasting mergers and acquisitions failure based on partial-sigmoid neural network and feature selection.

Traditional forecasting methods in mergers and acquisitions (M&A) data have two limitations that sig...

Factors That Influence Risk Perceptions and Successful COVID-19 Vaccination Communication Campaigns With American Indians.

COVID-19 vaccinations are the primary tool to end the pandemic. However, vaccine hesitancy continues...

Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features.

The requesting of detailed information on new drugs including drug-drug interactions or targets is o...

Ambulatory seizure forecasting with a wrist-worn device using long-short term memory deep learning.

The ability to forecast seizures minutes to hours in advance of an event has been verified using inv...

Evaluation of a custom-designed human-robot collaboration control system for dental implant robot.

BACKGROUND: The purpose of this study is to develop a methodology to better control a human-robot co...

Neural interface systems with on-device computing: machine learning and neuromorphic architectures.

Development of neural interface and brain-machine interface (BMI) systems enables the treatment of n...

3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients.

Cochlear implants restore hearing in patients with severe to profound deafness by delivering electri...

A systematic review of sutureless vascular anastomosis technologies.

Vascular anastomoses typically involve a handsewn technique requiring significant surgical training,...

Deep-Learning-Based CT Imaging in the Quantitative Evaluation of Chronic Kidney Diseases.

This study focused on the application of deep learning algorithms in the segmentation of CT images, ...

Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy.

The prediction of anatomical structures within the surgical field by artificial intelligence (AI) is...

Efficient Prediction of Missed Clinical Appointment Using Machine Learning.

Public health and its related facilities are crucial for thriving cities and societies. The optimum ...

Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI.

The sudden rise in the ability of machine learning methodology, such as deep neural networks, to ide...

Connecting MHC-I-binding motifs with HLA alleles via deep learning.

The selection of peptides presented by MHC molecules is crucial for antigen discovery. Previously, s...

Deep learning for bone marrow cell detection and classification on whole-slide images.

Bone marrow (BM) examination is an essential step in both diagnosing and managing numerous hematolog...

A Deep Learning Approach for Predicting Antigenic Variation of Influenza A H3N2.

Modeling antigenic variation in influenza (flu) virus A H3N2 using amino acid sequences is a promisi...

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