Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

Molecular property prediction has long been a critical challenge in drug development. Traditional quantum chemistry methods are inefficient when dealing with large-scale molecular databases, failing ...

To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

Scientists have long known that protons hop along hydrogen-bond pathways in these systems. What they couldn't pin down was ...

Proteins are the molecular workhorses of cells. To understand their functions, scientists soon realized that they had to figure out proteins’ shapes. But solving a protein structure is a challenging ...