Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

A Microsoft Research study suggests glass blocks etched with lasers could provide enduring data archives ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

There are variations of these roles, but the deluge on job boards means one thing: training AI models is a real business. One ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left guessing how to achieve similar results.

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

For beneficiaries in six states, AI could decide on some Medicare claims for non-emergency health care services.

Devices shown at AI Impact Summit can be deployed across hospitals and resource-scarce settings to improve accuracy and accessibility.