The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells must store energy, build membranes and transmit information. Abiotic chemistry ...

The progress of machine learning over the past decade, driven by the advent of deep learning, has been remarkable. And systems biology, which seeks to understand the big picture by collecting large ...

The rapidly expanding field of machine learning is driving significant innovations across various industries, with profound implications for healthcare and biological research. The upcoming Special ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Researchers have developed a machine-learning tool that can subtype samples from people with rheumatoid arthritis. A collaboration between Weill Cornell Medicine (NY, USA) and the Hospital for Special ...