Public Health & Policy

Clinical Trials

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

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DD-PRiSM: a deep learning framework for decomposition and prediction of synergistic drug combinations.

Combination therapies have emerged as a promising approach for treating complex diseases, particular...

Nov 2024 39800875
Artificial Intelligence in Cardiovascular Clinical Trials.

Randomized clinical trials are the gold standard for establishing the efficacy and safety of cardiov...

Nov 2024 39505413
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review.

OBJECTIVE: The objective of our research is to conduct a comprehensive review that aims to systemati...

Nov 2024 39259922
Artificial intelligence to improve clinical coding practice in Scandinavia: a crossover randomized controlled trial

\textbf{Trial design} Crossover randomized controlled trial. \textbf{Methods} An AI tool, Easy-ICD...

Standardization Trends on Safety and Trustworthiness Technology for Advanced AI

Artificial Intelligence (AI) has rapidly evolved over the past decade and has advanced in areas su...

Deterministic complexity analysis of Hermitian eigenproblems

In this work we revisit the arithmetic and bit complexity of Hermitian eigenproblems. Recently, [B...

Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety

Operationalizing AI ethics and safety principles and frameworks is essential to realizing the pote...

Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations

In today's world, the significance of explainable AI (XAI) is growing in robotics and point cloud ...

Unlocking the Full Potential of High-Density Surface EMG: Novel Non-Invasive High-Yield Motor Unit Decomposition

The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit disch...

Coherence-Driven Multimodal Safety Dialogue with Active Learning for Embodied Agents

When assisting people in daily tasks, robots need to accurately interpret visual cues and respond ...

Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects

Randomized controlled trials (RCTs) can be used to generate guarantees on treatment effects. Howev...

Mapping Hong Kong's Financial Ecosystem: A Network Analysis of the SFC's Licensed Professionals and Institutions

We present the first study of the Public Register of Licensed Persons and Registered Institutions ...

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation

The rapid development of online recruitment platforms has created unprecedented opportunities for ...

Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step

Text-based image generation models, such as Stable Diffusion and DALL-E 3, hold significant potent...

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console.

SUMMARY: The vast generation of genetic data poses a significant challenge in efficiently uncovering...

Oct 2024 39115390
GATher: Graph Attention Based Predictions of Gene-Disease Links

Target selection is crucial in pharmaceutical drug discovery, directly influencing clinical trial ...

Certified Adversarial Robustness via Partition-based Randomized Smoothing

A reliable application of deep neural network classifiers requires robustness certificates against...

ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions

In the rapidly evolving field of vision-language navigation (VLN), ensuring safety for physical ag...

Exploring the Boundaries of Content Moderation in Text-to-Image Generation

This paper analyzes the community safety guidelines of five text-to-image (T2I) generation platfor...

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

The integration of Large Language Models (LLMs) into the drug discovery and development field mark...

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