Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

A neuroscientist and a musician are an unlikely duo. One analyzes electrical signals in the brain, while the other writes ...

This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable ...

Encrypted training offers new path to safer language models // Google folds Meet analytics into Gemini dashboard // ...

The OFIQ software library is intended to support large-scale biometrics programs with information about the usefulness of photos for biometric comparison.

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...

This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the accuracy ...

Background: Malaria, caused by Plasmodium parasites transmitted through bites from infected female Anopheles mosquitoes, results in severe symptoms such as anemia and potential organ failure. The high ...