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 ...

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

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

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

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 ...

Therapeutics Startup Helex Secures USD 3.5 Mn to Develop Targeted Kidney Treatments Helex, a therapeutics startup focused on genetic kidney diseases, has raised USD 3.5 million in a seed funding round ...

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

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

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