Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 4,871 to 4,880 of 203,854 articles
The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles.
Nature communications
May 30, 2026
Malaria is caused by apicomplexan parasites of the genus Plasmodium, with all malaria symptoms and pathology caused by parasite stages that develop within, or transit between, host erythrocytes. The ability of Plasmodium cells to parasitise erythrocy... read more
Development and validation of a sensor-integrated smart driving test system for automated, scalable, and objective driver performance evaluation.
Scientific reports
May 30, 2026
Evaluating driver proficiency remains a fundamental determinant of road safety, regulatory adherence, and public confidence in licensing systems. This paper presents the Smart Driving Test System (SDTS), a fully integrated, sensor-based, microcontrol... read more
Machine learning and SHAP interpretation for predicting coronary heart disease-diabetes comorbidity with dietary antioxidants.
Scientific reports
May 30, 2026
Coronary heart disease (CHD) and diabetes mellitus frequently co-occur through shared mechanisms such as oxidative stress and inflammation. Whether specific dietary antioxidants mitigate CHD-diabetes comorbidity remains unclear. Using National Health... read more
Machine learning-based screening model for Tic disorders comorbid with attention-deficit/hyperactivity disorder in children and SHAP value interpretation: a retrospective observational study.
Scientific reports
May 30, 2026
Tic disorders (TD) are common neurodevelopmental conditions in children and adolescents, characterized primarily by motor and vocal tics, with heterogeneous symptom presentations and significant fluctuations. Concurrently, attention-deficit/hyperacti... read more
Intelligent financial forecasting using transformers, neuro-symbolic AI, and agent-based systems.
Scientific reports
May 30, 2026
Forecasting the stock market is a difficult task because of the volatile price movements and complex temporal dependencies. Established models frequently do not realize these unstable trends, which leads to changeable forecasting. This paper introduc... read more
Machine learning-driven image encryption using SVM for enhanced security and computational efficiency.
Scientific reports
May 30, 2026
A balance between security and computational efficiency is a key goal in image encryption. Traditional methods involve a number of calculations to achieve satisfactory resilience and make it hard to use in real-time environments. This research offers... read more
Quantum-safe cyber digital twin architectures for proactive threat forecasting and adaptive defense.
Scientific reports
May 30, 2026
As the recent developments in digital infrastructures have led to increased risk of cyber threats. Among them, quantum technology assisted threats signal an unprecedented and urgent threat type referring to cyberattacks that utilize quantum computing... read more
Long-term continuous monitoring of wearable ECG signals for atrial fibrillation detection.
Scientific reports
May 30, 2026
Atrial Fibrillation (AFib) is the most common sustained cardiac arrhythmia and is associated with substantial morbidity and mortality, including increased risk of stroke and heart failure. Accurate detection of AFib in long-term electrocardiographic ... read more
Multikingdom microbiome-based machine learning enables multiple sclerosis diagnosis.
NPJ biofilms and microbiomes
May 30, 2026
Emerging evidence suggests a role for the gut bacteria in the pathogenesis of multiple sclerosis (MS); however, the role of other microorganisms and their diagnostic potential for MS remain poorly explored. Here, we analyzed large-scale metagenomic d... read more
Determinants of protein corona adsorption and abundance revealed by interpretable machine learning across nanoparticle systems.
Scientific reports
May 30, 2026
Nanoparticles (NPs) hold significant potential in biotechnology, including molecular sensing, controlled release systems, and therapeutic applications. However, their behavior in biological environments remains difficult to predict because proteins r... read more
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- Machine Learning 32655
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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