Neurobots—xenobots with neurons—show self-organized nervous systems and enhanced behaviors, revealing new insights into how ...

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 ...

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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 ...

As AI becomes further incorporated into the lab environment, it is critical that those using it implement safe and compliant ...

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 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 ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

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 ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the formation of biomolecular condensates, "droplets" of concentrated proteins, DNA ...