The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

Spinal cord injury (SCI) remains a major unmet medical challenge, often resulting in permanent paralysis and disability with ...

A new large language model predicts the properties of lasso peptides, natural products of bacteria that have therapeutic ...

Scientists at the University of Glasgow have harnessed a powerful supercomputer, normally used by astronomers and physicists ...

Through cutting-edge methods and advanced artificial intelligence analysis, UNC Charlotte researchers leading a ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

A groundbreaking study from UC San Diego has identified Thiorphan, an existing drug, as a potential game-changer for spinal ...

Scientific knowledge is fundamentally built on data; yet, for too long, research datasets have remained siloed, poorly ...

Synchronization abounds in nature: from the flashing lights of fireflies to the movement of fish wriggling through the ocean, ...

Scientists have been aware of the mosquito’s ability to detect our carbon dioxide expirations but the intricate underlying ...

Its integration into the China National GeneBank DataBase (CNGBdb) allows users to accurately forecast cell expression levels ...