Heart disease remains the leading cause of death in the United States, according to a new report. The American Heart Association (AHA) report, published Monday in the journal Circulation, found that ...

To address these challenges, this paper introduces a novel edge service pre-deployment scheme based on location prediction (ESPD-LP). The ESPD-LP scheme leverages historical user trajectory data to ...

This is the first study to comprehensively investigate the effects of fatty muscles on heart disease. The new finding adds evidence that existing measures, such as body mass index or waist ...

Specifically, a transformer-based prediction model is constructed to reproduce promising offspring by capturing changes of population distribution in adjacent generations. Moreover, many MMOEAs focus ...

To address this, CVD prevention plans rely on prediction models like atherosclerotic cardiovascular disease (ASCVD) risk scores to estimate the risk of heart disease. However, previous studies ...

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on ...

Data collected by wearable technology can identify disease flare-ups up to seven weeks in advance. Wearable devices can identify, differentiate, and predict ... patterns of heart rate variability ...

Wearable devices can identify, differentiate, and predict flare-ups, or the worsening of symptoms and inflammation, in inflammatory bowel disease (IBD ... patterns of heart rate variability ...

This method ensures the chosen strategy effectively supports operational goals, enabling sustainable and efficient AI model deployment across dynamic environments. Ethical and Environmental ...