Devices and Vaccines

Temperature Scaling Attack Disrupting Model Confidence in Federated Learning

Predictive confidence serves as a foundational control signal in mission-critical systems, directly ...

Quantile Transfer for Reliable Operating Point Selection in Visual Place Recognition

Visual Place Recognition (VPR) is a key component for localisation in GNSS-denied environments, but ...

Large mRNA language foundation modeling with NUWA for unified sequence perception and generation

The mRNA serves as a crucial bridge between DNA and proteins. Compared to DNA, mRNA sequences are mu...

ReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image Retrieval

Composed Image Retrieval (CIR) aims to retrieve target images based on a hybrid query comprising a r...

Improving Robustness of Vision-Language-Action Models by Restoring Corrupted Visual Inputs

Vision-Language-Action (VLA) models have emerged as a dominant paradigm for generalist robotic manip...

De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infa...

Do VLMs Perceive or Recall? Probing Visual Perception vs. Memory with Classic Visual Illusions

Large Vision-Language Models (VLMs) often answer classic visual illusions "correctly" on original im...

Multimodal Fusion of Pathology Free-Text and Clinical Data Enhances Complication-Risk Discrimination After Implant-Based Breast Reconstruction

Implant-based breast reconstruction is the most common surgical option following mastectomy for brea...

TCRAD: An End-to-End Framework for Antigen-Targeted T Cell Receptor Design

Understanding and engineering T-cell receptor (TCR) specificity is central to personalized immunothe...

Reasoning-Enhanced Rare-Event Prediction with Balanced Outcome Correction

Rare-event prediction is critical in domains such as healthcare, finance, reliability engineering, c...

AlignInsight: A Three-Layer Framework for Detecting Deceptive Alignment and Evaluation Awareness in Healthcare AI Systems

Importance: Emerging evidence suggests healthcare AI systems may exhibit deceptive alignment (appear...

Resource-Conscious RL Algorithms for Deep Brain Stimulation

Deep Brain Stimulation (DBS) has proven to be a promising treatment of Parkinson's Disease (PD). DBS...

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

Selective knowledge erasure from LLMs is critical for GDPR compliance and model safety, yet current ...

HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction

Accurately predicting how amino acid substitutions alter protein function is a central challenge in ...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, t...

Predicting the risk of in-stent restenosis after drug-eluting stent implantation: Pipe dream or machine learning-enabled opportunity?

AI-driven optimization of spinal implant design using parametric modelling.

This study aimed to enhance vertebral implant design by using a parametric spine model and advanced ...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising v...

Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment

This study investigates the potential of a multimodal large language model (LLM), specifically Cha...

Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning

Recent advances in image generation models (IGMs), particularly diffusion-based architectures such...