Public Health & Policy

Clinical Trials

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

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Artificial intelligence in cardiovascular pharmacotherapy: applications and perspectives.

Recent advances in artificial intelligence (AI) have shown great potential in improving cardiovascul...

Cohort profile: China healthy aging cohort study (China-Aging).

BackgroundAs China undergoes a demographic transition towards an aging society, the prevalence and i...

Exploring ChatGPT's Efficacy in Orthopaedic Arthroplasty Questions Compared to Adult Reconstruction Surgeons.

BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT) is a language model designed to conduc...

Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity.

Innovative identification technologies for hematopoietic stem cells (HSCs) have expanded the scope o...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...

Mastering a robot workforce: review of single human multiple robots systems and their impact on occupational safety and health and system performance.

As highly autonomous mobile robots increasingly integrate into workplaces, they still require human ...

RadientFusion-XR: A Hybrid LBP-HOG Model for COVID-19 Detection Using Machine Learning.

The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia ch...

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.

Proinflammatory peptides (PIPs) play a crucial role in immune response modulation by orchestrating c...

USP5-Mediated PD-L1 deubiquitination regulates immunotherapy efficacy in melanoma.

BACKGROUND: The role of post-translational modifications(PTMs) in PD-L1-mediated immune resistance a...

Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.

BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scal...

How machine learning on real world clinical data improves adverse event recording for endoscopy.

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accu...

CRISPR/Cas-Based Biosensing Strategies for Non-Nucleic Acid Contaminants in Food Safety: Status, Challenges, and Perspectives.

Non-nucleic acid targets (non-NATs), such as heavy metals, toxins, and pesticide residues, pose crit...

Exploring entropy measures with topological indices on colorectal cancer drugs using curvilinear regression analysis and machine learning approaches.

A topological index is a numerical value derived from the structure of a molecule or graph that prov...

Machine learning assisted adjustment boosts efficiency of exact inference in randomized controlled trials.

In this work, we proposed a novel inferential procedure assisted by machine learning based adjustmen...

Structural health monitoring and evaluation method for an immersed tunnel based on deep learning.

The health monitoring of the subsea-immersed tunnels is essential for the early detection of anomali...

Baseline Moderators of Response to Naltrexone and Bupropion in the Treatment of Methamphetamine Use Disorder: An ADAPT-2 Study.

OBJECTIVES: Extended-release naltrexone and once-daily bupropion (NTX-BUP) reduced methamphetamine (...

Current Research and Development in the Field of Magnetic Resonance Contrast Media.

The next-generation, high relaxivity, gadolinium-based contrast agents (GBCAs) are discussed, togeth...

Generative artificial intelligence in entrepreneurship education enhances entrepreneurial intention through self-efficacy and university support.

This study investigates how Generative Artificial Intelligence Supported Entrepreneurship Education ...

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