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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 1807-1827 of 4,651 articles
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with lung metastase...

PaSa: An LLM Agent for Comprehensive Academic Paper Search

We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can auton...

Attention is All You Need Until You Need Retention

This work introduces a novel Retention Layer mechanism for Transformer based architectures, addres...

Multi-visual modality micro drone-based structural damage detection

Accurate detection and resilience of object detectors in structural damage detection are important...

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

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

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Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset

Safety is the main concern in the aviation industry, where even minor operational issues can lead ...

Large Language Models for Bioinformatics

With the rapid advancements in large language model (LLM) technology and the emergence of bioinfor...

IoT Firmware Version Identification Using Transfer Learning with Twin Neural Networks

As the Internet of Things (IoT) becomes more embedded within our daily lives, there is growing con...

Quantifying Itch and its Impact on Sleep Using Machine Learning and Radio Signals

Chronic itch affects 13% of the US population, is highly debilitating, and underlies many medical ...

Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding

Background: Healthcare has many manual processes that can benefit from automation and augmentation...

Simulated prosthetic vision confirms checkerboard as an effective raster pattern for epiretinal implants

Spatial scheduling of electrode activation ("rastering") is essential for safely operating high-de...

Spatiotemporal Abstraction Theory: Re‐Interpretation of Localized Cortical Networks

The brain excels at extracting meaning from noisy and degraded input, yet the computational principl...

Language models learn to represent antigenic properties of human influenza A(H3) virus

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

Pixel-Precise Lesion Localization in WSIs via Weakly Supervised Streaming Convolution with ReLSE and Adaptive Self-Training

A robust artificial intelligence-assisted workflow for tumor assessment in pathology requires not on...

Controllable Protein Design by Prefix-Tuning Protein Language Models

The design of novel proteins with tailored functionalities, particularly in drug discovery and vacci...

Optimization of connectome weights for a neural network model generating both forward and backward locomotion in C. elegans

Previous studies tracking the relationship between manipulations of C. elegans neurons and the resul...

CoV-UniBind: A Unified Antibody Binding Database for SARS-CoV-2

Since the emergence of SARS-CoV-2, numerous studies have investigated antibody interactions with vir...

Quantum Convolutional HLA Immunogenic Peptide Prediction (Q-CHIPP): Next-Generation Neoantigen Prediction with Quantum Neural Networks

The immune system is an intricately evolved series of cellular and protein-protein interactions, whi...

Tension shapes memory: Computational insights into neural plasticity

Mechanical forces have recently emerged as critical modulators of neural communication, yet their ro...

Mapping antigenic evolution of influenza A virus using deep learning-based prediction of hemagglutination inhibition titers

Seasonal influenza remains a significant public health challenge through unpredictable antigenic dri...

Reengineering the antigen optimization process for superior neoantigen vaccine design

Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, ...

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