A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los Alamos' expertise in building tools for molecular screening capabilities.

For the immune system to effectively combat pathogens, antibody responses must be precisely controlled. So-called follicular ...

A new AI model has become so good at predicting how molecules evolve over time that, in the future, it could speed up the ...

As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips. More recently, ...

Molecular machine learning models often fail to generalize beyond the chemical space of their training data, limiting their ability to reliably perform predictions on structurally novel bioactive ...

Google DeepMind has unexpectedly released the source code and model weights of AlphaFold 3 for academic use, marking a significant advance that could accelerate scientific discovery and drug ...

The rapid advent of high-throughput omics technologies has created an exponential growth in biological data, often outpacing our ability to derive molecular insights. Large-language models have shown ...

Administrative Aspects of Molecular Diagnostics—Oversight, Regulatory Approval Process, Clinical and Operational Workflows, and Payment Models. If you have the appropriate software installed, you can ...