Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth ...

but large-scale analysis has been largely limited due to the high cost and labor-intensive nature of experimental methods, which the investigators overcame with a machine-learning approach. They ...

Mass spectrometry and machine learning show promise for early cancer detection and prognosis by analyzing metabolic ...

We are thrilled to announce that Recursion is setting a new gold standard for the industry with the release of ...

The Earth BioGenome Project seeks to genetically profile over a million plants, animals, and fungi as they build an atlas of ...

But you might be thinking, why physics? Isn’t this a computer science discovery? Many in the physics community had a similar ...

To celebrate Science Week, we’ve put together a bumper list of 25 scientists based in Ireland who are innovating across STEM.

Researchers using machine learning discovered that variations in microbial load in the gut, influenced by age, sex, diet, and ...

A novel machine learning model called Temporal Autoencoders for Causal Inference (TACI) accurately detects changing cause-and ...

What powers the evolution of Artificial Intelligence? AI Research Scientist plays a pivotal role in advancing AI by ...

A new computational method can identify how cause-and-effect relationships ebb and flow over time in dynamic real-life systems such as the brain.

A new study reveals that changes in gut microbial load, influenced by factors like diet, age, and antibiotics, drive the presence of bacteria previously linked to diseases such as inflammatory bowel ...