Machine learning (ML) tools are a subset of artificial intelligence (AI) that use mathematical models to recognize patterns between input and output, and often subsequently make predictions based on ...

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 ...

For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

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 ...

In fields such as biotechnology, medicine, pharmaceutical, health care, and life sciences, the need to ensure human health and safety is of the highest priority when deploying artificial intelligence ...

Better precision could improve many aspects of bioprocessing. Although optimizing a bioprocess and monitoring its progress would benefit from better precision, accomplishing those goals challenges ...

Tevogen Bio begins pre-clinical effort for TVGN 920, signaling the start of its oncology treatment pipeline. Tevogen Bio created a data set containing known proteins in the HPV genome to identify ...

Say you want to listen in on a group of super-intelligent aliens whose language you don't understand, and whose spaceship ...