Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a machine learning algorithm to predict the density of microbes -- called microbial load, from their gut microbiomes, they found that changes in microbial load, rather than the disease, could be a driver behind the presence of disease-associated microbial species.

Researchers have developed an AI powered model that -- in 10 seconds -- can determine during surgery if any part of a cancerous brain tumor that could be removed remains.The technology, called FastGlioma, outperformed conventional methods for identifying what remains of a tumor by a wide margin. Researchers say it has the potential to change the field of neurosurgery by immediately improving comprehensive management of patients with diffuse gliomas.

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