Latest AI and machine learning research in clinical trials for healthcare professionals.
AI safety is a rapidly growing area of research that seeks to prevent the harm and misuse of front...
Multimodal Large Language Models (MLLMs) have expanded the capabilities of traditional language mo...
With the rapid advancement of Large Language Models (LLMs), the safety of LLMs has been a critical...
The emergence of vision language models (VLMs) comes with increased safety concerns, as the incorp...
Large Language Models (LLMs) have demonstrated remarkable success across various NLP benchmarks. H...
Clinical trials remain critical in cardiac drug development but face high failure rates due to eff...
Current Vision Language Models (VLMs) remain vulnerable to malicious prompts that induce harmful o...
Post-training quantization (PTQ) has emerged as a promising solution for reducing the storage and ...
Randomized experiments are the preferred approach for evaluating the effects of interventions, but...
The Cox proportional hazards model is often used for model development in data from randomized con...
There is mounting interest in the possibility that metformin, indicated for glycemic control in type...
Iterative Krylov projection methods have become widely used for solving large-scale linear inverse...
In this work, we present INTACT, a novel two-phase framework designed to enhance the robustness of...
The rapid advancement of large models, driven by their exceptional abilities in learning and gener...
Hamilton-Jacobi (HJ) reachability is a rigorous mathematical framework that enables robots to simu...
BACKGROUND: The efficacy of laminectomy procedures is contingent on the method of resection. The obj...
Protein structure holds immense potential for pathogenicity prediction, albeit structure-based predi...
Large Vision-Language Models (VLMs) have achieved remarkable performance across a wide range of ta...
Digital-safety research with at-risk users is particularly urgent. At-risk users are more likely t...
Large language models (LLMs) are increasingly utilized in healthcare applications. However, their ...
The rapid advancement of artificial intelligence (AI) systems in critical domains like healthcare,...