Protein engineering modifies protein molecules to achieve specific biological or technological functions. Protein design forms the core methodology, and, in recent years, artificial intelligence (AI)-driven approaches have enabled more precise trait ... read more
The purpose of this study is to find the numerical solutions of the delay Parkinson's disease model by employing a computing neural network framework. The disease model is divided into five components: healthy brain neurons, infected brain neurons, a... read more
Ecotoxicology and environmental safety
Mar 25, 2026
The accurate prediction of chemical concentrations in human blood is essential for evaluating health risks associated with synthetic organic pollutants. However, existing models frequently suffer from limitations such as data scarcity, incomplete fea... read more
BACKGROUND: Whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) improves detection of occlusive myocardial infarction (OMI) in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) compared with standard of care (SOC) remains... read more
Coastal water pollution poses significant environmental challenges, leading to severe ecological and public health consequences. Thus, new assessment tools should be developed and refined to manage water quality more efficiently. In this paper, we pr... read more
Timely detection of offshore oil spills that cause irreparable harm to aquatic life can reduce the risk of damage and ensure environmental safety. For this purpose, images obtained by synthetic aperture radar installed on satellites and aircraft are ... read more
Journal of cardiovascular computed tomography
Mar 25, 2026
BACKGROUND: Coronary artery calcium scoring (CACS) is central to cardiovascular risk stratification. Differences between reconstruction algorithms may introduce inconsistencies in Agatston scores, resulting in reduced reliability and diminished clini... read more
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