Devices and Vaccines

Faculty Insights on Artificial Intelligence Chatbot Integration in Dental Implant Clinical Education.

MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning.

MOTIVATION: Predicting the binding affinity between antigens and antibodies accurately is crucial fo...

A Preliminary Usability Evaluation of an Artificial Intelligence-Based, Motion-Detecting Wearable Device: The Geriatric Functional Assessment System.

BACKGROUND: Physical function is a key determinant of independence among older adults. Yet, there ar...

ESMpHLA: Evolutionary Scale Model-Based Deep Learning Prediction of HLA Class I Binding Peptides.

The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune res...

Machine Learning Assisted Stroke Prediction in Mechanical Circulatory Support: Predictive Role of Systemic Mitochondrial Dysfunction.

Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients aft...

Deep learning-based segmentation of the mandibular canals in cone-beam CT reaches human-level performance.

OBJECTIVES: This study evaluated the accuracy and reliability of deep learning-based segmentation te...

Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vaul...

Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical Notes.

Large language models (LLMs) have increasingly been used to extract critical information from unstru...

Evaluating the Impact of the EU AI Act on Medical Device Regulation.

Artificial Intelligence (AI) is increasingly incorporated into medical devices, revolutionizing diag...

Automated identification of fall-related injuries in unstructured clinical notes.

Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identif...

Validation of a Microfluidic Device Prototype for Cancer Detection and Identification: Circulating Tumor Cells Classification Based on Cell Trajectory Analysis Leveraging Cell-Based Modeling and Machine Learning.

Microfluidic devices (MDs) present a novel method for detecting circulating tumor cells (CTCs), enha...

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

Species-specific differences in protein translation can affect the design of protein-based drugs. Co...

Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader.

Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rate...

Machine Learning-Based Rapid Prediction of Torsional Performance of Personalized Peripheral Artery Stent.

The complex mechanical environment of peripheral arteries makes stents with poor torsional performan...

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data.

The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...

Improving Recall in Sparse Associative Memories That Use Neurogenesis.

The creation of future low-power neuromorphic solutions requires specialist spiking neural network (...

Validity and Inter-Device Reliability of an Artificial Intelligence App for Real-Time Assessment of 505 Change of Direction Tests.

The present study aimed to explore the validity and inter-device reliability of a novel artificial i...

VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.

The viruses threats provoke concerns regarding their sustained epidemic transmission, making the dev...

Effectiveness of digital self-care device for at risk drinking problems: focus on individuals at risk for alcohol-related issues.

AIMS: This study was conducted to verify the effectiveness of using digital self-care devices in red...

IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.

COVID-19 has not only changed the way people live but has also altered the way all organizations ope...

Artificial intelligence in vaccine research and development: an umbrella review.

BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of a...