Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,671 to 1,680 of 200,546 articles

Beyond petrochemicals: challenges and opportunities in industrial-scale biomanufacturing.

Nature communications
Biomanufacturing offers a sustainable alternative to petrochemical manufacturing by harnessing engineered microorganisms to convert renewable feedstocks into diverse value-added products. Systems metabolic engineering has driven its advancement, enab... read more 

Children use algorithm induction to discover patterns in data.

Nature communications
Humans are unique in our ability to acquire diverse skills and inhabit myriad environments, but the cognitive mechanisms underlying such fast, flexible learning remain unresolved. Inspired by theories of artificial intelligence, here we show evidence... read more 

The spatial proteome of the Plasmodium falciparum schizont illuminates the composition and evolutionary trajectories of its organelles.

Nature communications
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
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
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
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
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
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
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
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