In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Unlock faster trials & better ROI in health data with STAT. Join experts on Aug 14 to build a smarter technology ...

SeamlessTx is addressing this challenge with a unique platform that integrates large-scale directed evolution and machine learning (ML)-driven models to predict recombinase variant activity and ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have developed a powerful new tool that makes it easier to study the mix of cell types in human tissue, which is crucial for understanding diseases such as cancer.

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

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 ...

Today, genomics is saving countless lives and even entire species, thanks in large part to a commitment to collaborative and ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

Researchers have developed a machine learning model that predicts Cas9 proteins that can be tailored with designer properties for therapeutic use.

Researchers from the University of Maryland's Department of Nutrition and Food Science are shedding new light on how a ...

The findings emphasize that as climate variability becomes more pronounced, integrating both genomic and environmental data using advanced machine learning approaches will be key to breeding apple ...