Artificial Intelligence and Machine Learning – News and Features

Examining the immune cells in the environment around a tumour could help to predict how a person’s cancer might progress and respond to treatment, according to new research led by UCL and the Francis Crick Institute.

Inside the brains of people with psychosis, two key systems are malfunctioning: a “filter” that directs attention toward important events and thoughts, and a “predictor” composed of pathways that anticipate rewards.

We take a deep dive into the current guides and policies for using AI-assisted technologies in scientific data generation and publication, asking: what does the future look like?

Cloud ‘engineering’ could be more effective for climate cooling than previously thought, because of the increased cloud cover produced, new research shows.

Using artificial intelligence (AI) to supplement radiologists’ evaluations of mammograms may improve breast-cancer screening by reducing false positives without missing cases of cancer, according to a study.

Researchers have made a significant advancement toward understanding how the human genome is organized inside a single cell.

For every tenth of a degree of increase in global air temperature, an average of nearly 9,000 meteorites disappear from the surface of the ice sheet in Antarctica.

Language models can be used to home in on partial genome sequences and optimize those sequences to study biology and improve medicine, and have designed more effective mRNA vaccines.

Researchers have identified microbiota signatures associated with KRAS mutations in people diagnosed with colorectal cancer. The findings suggest that gut microbes may serve as a kind of non-invasive biomarker for identifying subtypes of CRC.

A new study differentiates the molecular subgroups of RCC tumors to better understand how their makeup might affect treatment responses.