Public Health & Policy

Clinical Trials

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

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From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development

Clinical trials are an indispensable part of the drug development process, bridging the gap betwee...

Multilevel randomized quasi-Monte Carlo estimator for nested integration

Nested integration problems arise in various scientific and engineering applications, including Ba...

Learning k-Inductive Control Barrier Certificates for Unknown Nonlinear Dynamics Beyond Polynomials

This work is concerned with synthesizing safety controllers for discrete-time nonlinear systems be...

EMOv2: Pushing 5M Vision Model Frontier

This work focuses on developing parameter-efficient and lightweight models for dense predictions w...

SafeWorld: Geo-Diverse Safety Alignment

In the rapidly evolving field of Large Language Models (LLMs), ensuring safety is a crucial and wi...

Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters

Recent success of text-to-image (T2I) generation and its increasing practical applications, enable...

Employee Well-being in the Age of AI: Perceptions, Concerns, Behaviors, and Outcomes

The growing integration of Artificial Intelligence (AI) into Human Resources (HR) processes has tr...

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning

Perception components in autonomous systems are often developed and optimized independently of dow...

Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications

In this paper we propose efficient randomized fixed-precision techniques for low tubal rank approx...

Randomized algorithms for Kroncecker tensor decomposition and applications

This paper proposes fast randomized algorithms for computing the Kronecker Tensor Decomposition (K...

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

Cancer clinical trials often face challenges in recruitment and engagement due to a lack of partic...

AR-Facilitated Safety Inspection and Fall Hazard Detection on Construction Sites

Together with industry experts, we are exploring the potential of head-mounted augmented reality t...

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Rotating the activation and weight matrices to reduce the influence of outliers in large language ...

Large-scale prediction of biological activities with Active-IT system.

Traditional testing methods in pharmaceutical development can be time-consuming and costly, but in s...

Dec 2024 39718107
Deciphering the Role of SLFN12: A Novel Biomarker for Predicting Immunotherapy Outcomes in Glioma Patients Through Artificial Intelligence.

Gliomas are the most prevalent form of primary brain tumours. Recently, targeting the PD-1 pathway w...

Dec 2024 39740094
When Image Generation Goes Wrong: A Safety Analysis of Stable Diffusion Models

Text-to-image models are increasingly popular and impactful, yet concerns regarding their safety a...

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
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