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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 1555-1575 of 4,651 articles
Design and structure of protein cages based on helical fusion and machine learning

Self-assembling protein cages are versatile nanoscale architectures with broad applications in drug ...

Intact early visual representations, not phosphene-adapted features, account for human perceptual behavior with retinal prostheses

Efforts to restore vision via neural implants have outpaced the ability to predict what users will p...

geneML: Gene annotation across diverse fungal species using deep learning

Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and ...

Membrane proteomics of the Drosophila circadian neural network

Circadian behaviors are controlled by dedicated brain pacemaker neurons, whose activity oscillate du...

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction

Computed tomography (CT) metal artifact reduction (MAR) aims to reduce the severe streaking artifact...

Smartphone Placement Recognition during Walking: Performance Determinants and Real-World Generalizability

The opportunity to collect movement data from smartphones for prolonged periods has opened new persp...

HAIRpred2: Human Host-Specific Prediction of Antibody-Interacting Residues Using Hybrid Physicochemical and Structural Features

Prediction of conformational B-cell epitopes is critical for vaccine design, immunotherapy, and anti...

Urban Risk-Aware Navigation via VQA-Based Event Maps for People with Low Vision

Visual impairment affects hundreds of millions of people worldwide, severely limiting their ability ...

Development of a Deep Learning Model Integrating CT Images and Blood Data for the Diagnosis of Acute Cholecystitis

Purpose: In this study, we aimed to develop and evaluate an artificial intelligence-based diagnostic...

AI-enabled virtual immunopeptidomics links quantitative neoantigen presentation to immunogenicity

Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity ...

Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning

Backdoor attacks can implant malicious behaviours into deep models while preserving performance on c...

Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...

From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting

Clinical time-series forecasting is increasingly studied for decision support, yet standard aggregat...

Interpretable sequence-based machine learning consolidates candidate H3N2 hemagglutinin antigenic sites

Vaccine strain selection for seasonal influenza A(H3N2) depends on knowing which hemagglutinin (HA) ...

MechaScreener: Large Language Model-Based Automated Screening for Systematic Reviews and Research

Systematic Reviews (SRs) are the gold standard for evidence synthesis, but the manual title and abst...

Integrative Clinical-Molecular Modeling Identifies LRRN4CL as a Determinant of Structural and Functional Myocardial Improvement

Background: Mechanical ventricular unloading and systemic circulatory support with left ventricular ...

Mass cytometry data integration methods reveal rural-urban gradient of immune profiles across geography

The human immune system strongly varies across populations and is shaped by a wide range of host and...

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