As artificial intelligence continues to integrate into various aspects of our lives, the next frontier in AI technology is quickly ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...

Four presentations highlight 12-month clinical outcomes, as well as MRI-assessed joint protection and patient perspectives supporting the SetPoint System as first-of-its-kind treatment for rheumatoid ...

A deal to prevent a US TikTok ban is now in place. The app’s algorithm will be copied, overseen by Oracle, and retrained using only American user data. This new, separate system addresses national ...

On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...