Imagine the concrete in our homes and bridges not only withstanding the ravages of time and natural disasters like the ...

Researchers at the University of Pittsburgh and Carnegie Mellon University collaborated to create a customized app based on ...

SeamlessTx is addressing this challenge with a unique platform that integrates large-scale directed evolution and machine learning (ML)-driven models to predict recombinase variant activity and ...

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

As cancer cases have increased worldwide, the disease has become more complex, presenting challenges to scientific advances ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

VA’s REACH VET model scans veterans’ electronic health records to identify those in the top 0.1% of suicide risk and then ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

The idea of a machine predicting an event or disaster, like that of fire which devastated the Ramses telecommunications ...

Deep learning using fundus and optical coherence tomography imaging may identify mental disorders during routine eye exams.

Research conducted at the University of Copenhagen (Denmark) investigated the relationship between chemical composition and ...