Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Abstract: As one of the most important equipment in the power system, it is of great significance to conduct fault diagnosis research on transformers. Aiming at the problem of difficult selection of ...

Abstract: Heart attacks are a prominent source of morbidity and mortality globally, demanding the development of precise and efficient predictive models for early identification and risk ...