A new study using Bayesian network analysis from the NESDA cohort suggests that depressive symptoms, especially those related ...

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

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Scientists have turned to advanced AI to decode the intricate ecosystem of gut bacteria and their chemical signals. Using a Bayesian neural network called VBayesMM, researchers can now identify ...

The pursuit of wellness has often taken a piecemeal approach. Perhaps a more productive and efficient strategy would be to ...

A team at the University of Tokyo has developed a new Bayesian neural network called VBayesMM, which can detect real biological relationships rather than random correlations.

Quantum Computing Breakthroughs Accelerate Progress It feels like every week there’s some new development in quantum ...

In the past, doctors usually aimed to keep the top number in a blood pressure reading (called systolic pressure) below 140 mmHg. But a new study now suggests that aiming lower—below 130 mmHg—might ...

For many years, doctors have tried to keep a person’s top blood pressure number (called systolic pressure) below 140. But new research published in the journal Cardiovascular Innovations and ...

While for many people AI translates to chatbots, thanks to the accessibility and popularity of generative AI tools like ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...