A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Scientists have traced kissing back to early primates, suggesting it began long before humans evolved. Their analysis points ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...

Objectives This study aims to evaluate individual preferences that influence responsiveness in oral healthcare services through a discrete choice experiment (DCE), and to estimate the marginal ...

Urban digital twins pull together tremendous amounts of data to realistically model cities, but they’ve been missing a ...

Integrating data and models is essential for advancing our understanding and management of water resources in an era of rapid ...

While Black Forest Labs previously launched with and made a name for itself on open source text-to-image models in its Flux ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

A new AI model called popEVE can predict how likely each variant in a patient’s genome is to cause disease. The team is ...

Artificial intelligence continues to astonish the world with its expanding, awe-inspiring capabilities. But, beneath t ...

Although some outcomes showed small to medium effect sizes, these results must be interpreted cautiously given the presence ...