Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Generating Robot Constitutions & Benchmarks for Semantic Safety

Until recently, robotics safety research was predominantly about collision avoidance and hazard re...

Real-Time Structural Deflection Estimation in Hydraulically Actuated Systems Using 3D Flexible Multibody Simulation and DNNs

The precision, stability, and performance of lightweight high-strength steel structures in heavy m...

AttentionSwarm: Reinforcement Learning with Attention Control Barier Function for Crazyflie Drones in Dynamic Environments

We introduce AttentionSwarm, a novel benchmark designed to evaluate safe and efficient swarm contr...

Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies

The evaluation and improvement of medical large language models (LLMs) are critical for their real...

Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving

Assessing the safety of vision-language models (VLMs) in autonomous driving is particularly import...

VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings

Texture recognition has recently been dominated by ImageNet-pre-trained deep Convolutional Neural ...

Red Team Diffuser: Exposing Toxic Continuation Vulnerabilities in Vision-Language Models via Reinforcement Learning

The growing deployment of large Vision-Language Models (VLMs) exposes critical safety gaps in thei...

Randomized based restricted kernel machine for hyperspectral image classification

In recent years, the random vector functional link (RVFL) network has gained significant popularit...

Research on a Driver's Perceived Risk Prediction Model Considering Traffic Scene Interaction

In the field of conditional autonomous driving technology, driver perceived risk prediction plays ...

Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis

The deployment of Large Language Models (LLMs) in robotic systems presents unique safety challenge...

Deep Causal Behavioral Policy Learning: Applications to Healthcare

We present a deep learning-based approach to studying dynamic clinical behavioral regimes in diver...

LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant

First-person video assistants are highly anticipated to enhance our daily lives through online vid...

Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

Predicting clinical outcomes from preclinical data is essential for identifying safe and effective...

Unlocking a New Rust Programming Experience: Fast and Slow Thinking with LLMs to Conquer Undefined Behaviors

To provide flexibility and low-level interaction capabilities, the unsafe tag in Rust is essential...

How to compute the volume in low dimension?

Estimating the volume of a convex body is a canonical problem in theoretical computer science. Its...

Jailbreaking Safeguarded Text-to-Image Models via Large Language Models

Text-to-Image models may generate harmful content, such as pornographic images, particularly when ...

The use of large language models to enhance cancer clinical trial educational materials.

BACKGROUND: Adequate patient awareness and understanding of cancer clinical trials is essential for ...

Mar 2025 39921887
Systematic Literature Review on Clinical Trial Eligibility Matching

Clinical trial eligibility matching is a critical yet often labor-intensive and error-prone step i...

QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems

In transportation cyber-physical systems (CPS), ensuring safety and reliability in real-time decis...

Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach

Understanding how urban environments are perceived in terms of safety is crucial for urban plannin...

Analysis of eligibility criteria clusters based on large language models for clinical trial design.

OBJECTIVES: Clinical trials (CTs) are essential for improving patient care by evaluating new treatme...

Mar 2025 39724913
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