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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 1765-1785 of 4,651 articles
Towards Invisible Backdoor Attack on Text-to-Image Diffusion Model

Backdoor attacks targeting text-to-image diffusion models have advanced rapidly, enabling attacker...

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...

Mar 2025 40156867
Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks

The application of large language models (LLMs) to healthcare information extraction has emerged a...

When neural implant meets multimodal LLM: A dual-loop system for neuromodulation and naturalistic neuralbehavioral research

We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS...

Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning

Online Knowledge Distillation (KD) is recently highlighted to train large models in Federated Lear...

TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models

Vision Language Models (VLMs) have demonstrated impressive inference capabilities, but remain vuln...

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation

Recent advancements in Large Language Models (LLMs) have significantly improved text generation ca...

2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting

This paper presents a novel method for estimating the orientation and the position of acetabular h...

SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Models

The purpose of this study is to introduce SKG-LLM. A knowledge graph (KG) is constructed from stro...

Secure On-Device Video OOD Detection Without Backpropagation

Out-of-Distribution (OOD) detection is critical for ensuring the reliability of machine learning m...

Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records

Longitudinal data in electronic health records (EHRs) represent an individual`s clinical history t...

Incentivizing Multi-Tenant Split Federated Learning for Foundation Models at the Network Edge

Foundation models (FMs) such as GPT-4 exhibit exceptional generative capabilities across diverse d...

PointSplit: Towards On-device 3D Object Detection with Heterogeneous Low-power Accelerators

Running deep learning models on resource-constrained edge devices has drawn significant attention ...

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic

The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and vir...

Language-agnostic, automated assessment of listeners' speech recall using large language models

Speech-comprehension difficulties are common among older people. Standard speech tests do not full...

Simulation of prosthetic vision with PRIMA system and enhancement of face representation

Objective. Patients implanted with the PRIMA photovoltaic subretinal prosthesis in geographic atro...

An evaluation of DeepSeek Models in Biomedical Natural Language Processing

The advancement of Large Language Models (LLMs) has significantly impacted biomedical Natural Lang...

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