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Repurposing FDA-approved drugs as NLRP3 inhibitors against inflammatory diseases: machine learning and molecular simulation approaches.

Activation of NLRP3 (NOD-like receptor family, pyrin domain-containing protein 3) has been associate...

Evaluating the Impact of the EU AI Act on Medical Device Regulation.

Artificial Intelligence (AI) is increasingly incorporated into medical devices, revolutionizing diag...

Evaluation and Regulation of Medical Artificial Intelligence Applications in China.

Amid the global wave of digital economy, China's medical artificial intelligence applications are ra...

PathSynergy: a deep learning model for predicting drug synergy in liver cancer.

Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...

Text phrase-mining in identifying and classifying maternal proteins and genes across preeclampsia and similar pathologies.

This study aims to demonstrate that text phrase-mining and natural language processing (NLP) can ann...

Exploring the dynamics of Lotka-Volterra systems: Efficiency, extinction order, and predictive machine learning.

For years, a main focus of ecological research has been to better understand the complex dynamical i...

Application of artificial intelligence for nutrient estimation in surface water bodies of basins with intensive agriculture.

Eutrophication is one of the most relevant concerns due to the risk to water supply and food securit...

Regulation of artificial intelligence in healthcare: Clinical Laboratory Improvement Amendments (CLIA) as a model.

OBJECTIVES: To assess the potential to adapt an existing technology regulatory model, namely the Cli...

FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine.

IMPORTANCE: Advances in artificial intelligence (AI) must be matched by efforts to better understand...

miRStart 2.0: enhancing miRNA regulatory insights through deep learning-based TSS identification.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to the 3'-untr...

m5CStack: An integrated framework for m5C site prediction using multi-feature stacking.

RNA 5-methylcytosine (m5C) modification sites are essential for understanding the regulation of RNA ...

Broad-spectrum coronavirus inhibitors discovered by modeling viral fusion dynamics.

Development of oral, broad-spectrum therapeutics targeting SARS-CoV-2, its variants, and related cor...

Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system.

To address the fixed-parameter limitations of traditional PID control (e.g., excessive overshoot, pr...

A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration.

INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...

Artificial intelligence and food flavor: How AI models are shaping the future and revolutionary technologies for flavor food development.

The food flavor science, traditionally reliant on experimental methods, is now entering a promising ...

Implications of An Evolving Regulatory Landscape on the Development of AI and ML in Medicine.

The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies in health...

TPepPro: a deep learning model for predicting peptide-protein interactions.

MOTIVATION: Peptides and their derivatives hold potential as therapeutic agents. The rising interest...

BioDSNN: a dual-stream neural network with hybrid biological knowledge integration for multi-gene perturbation response prediction.

Studying the outcomes of genetic perturbation based on single-cell RNA-seq data is crucial for under...

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