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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 1324-1344 of 3,934 articles
Signal identification system for developing rehabilitative device using deep learning algorithms.

Paralyzed patients were increasing day by day. Some of the neurodegenerative diseases like amyotroph...

Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction.

The ability of multitask learning promulgated its sovereignty in the machine learning field with the...

Peptide arrays incubated with three collections of human sera from patients infected with mosquito-borne viruses.

Global outbreaks caused by emerging or re-emerging arthropod-borne viruses (arboviruses) are becomi...

Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning.

Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fe...

Growth Factor Delivery for the Repair of a Critical Size Tibia Defect Using an Acellular, Biodegradable Polyethylene Glycol-Albumin Hydrogel Implant.

Growth factor delivery using acellular matrices presents a promising alternative to current treatmen...

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study.

BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply...

Leveraging Semantics in WordNet to Facilitate the Computer-Assisted Coding of ICD-11.

The International Classification of Diseases (ICD) not only serves as the bedrock for health statist...

The FluPRINT dataset, a multidimensional analysis of the influenza vaccine imprint on the immune system.

Machine learning has the potential to identify novel biological factors underlying successful antibo...

Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights.

Neuromorphic systems consisting of artificial neurons and memristive synapses could provide a much b...

Noise Adaptation Generative Adversarial Network for Medical Image Analysis.

Machine learning has been widely used in medical image analysis under an assumption that the trainin...

Label Self-Advised Support Vector Machine (LSA-SVM)-Automated Classification of Foot Drop Rehabilitation Case Study.

Stroke represents a major health problem in our society. One of the effects of stroke is foot drop. ...

Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing diseas...

Deep Learning in Personalization of Cardiovascular Stents.

Deep learning (DL) application has demonstrated its enormous potential in accomplishing biomedical t...

BIA: ehavior dentification lgorithm Using Unsupervised Learning Based on Sensor Data for Home Elderly.

Behavior identification plays an important role in supporting homecare for the elderly living alone....

Robotic Exoskeleton for Wrist and Fingers Joint in Post-Stroke Neuro-Rehabilitation for Low-Resource Settings.

Robots have the potential to help provide exercise therapy in a repeatable and reproducible manner f...

Robotic direct reading device with spatial, temporal, and PID sensors for laboratory VOC exposure assessment.

This study evaluated a novel robotic direct reading method that used a real-time location system to ...

From manual to artificial intelligence fitting: Two cochlear implant case studies.

To assess whether CI programming by means of a software application using artificial intelligence (...

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