New ML model shows importance of microbial load, as opposed to the more often used microbial composition, as a metric in ...

A deep learning artificial intelligence model developed at Washington State University can identify pathology, or signs of ...

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 ...

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

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

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

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 ...

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

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.

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

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

Biological engineers developed a computational approach to extracting useful information from large biological datasets. They showed they could unravel interactions that determine how the immune ...