Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

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 ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

On Sunday, April 14, students participating in Cornell’s Microbiome Hackathon wrapped up 28 hours of work by showing off their creations which included an app to predict one’s risk of neurological ...

Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. In an era where artificial intelligence (AI) is transforming ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to recognize biology may no longer be enough.

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 ...

Inside the race to turn one of cell biology’s least understood processes into a new foundation for drug development and ...