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Researchers hope the AI tool will improve diagnosis and treatment of cancerous brain tumors, as well as boost clinical trial enrollment.

A novel method for evaluating the interpretability of artificial intelligence (AI) technologies has been developed, opening the door to greater transparency and trust in AI-driven diagnostic and predictive tools

An advanced biosensor brain–computer interface is bringing thought-controlled robots a step closer to reality.

Sunlight can be used to produce green hydrogen directly from water in photoelectrochemical cells. So far, systems based on this "direct approach" have not been energetically competitive, but a new discovery may change this.

A new gigapixel 3D microscope has been designed to capture images and videos with unprecedented detail, revealing new insights into zebrafish and fruit fly behavior.

With chatbots and AI becoming popular resources, researchers have evaluated the reliability and accuracy of chatbots when it comes to cancer information.

Researchers have created the first high-resolution map of the human immune response to P. falciparum, offering insight into what makes this parasite such a persistent pathogen.

Scientists are rolling out an open-source version of a low-cost, mobile pollution detector that could enable people to track air quality more widely.

A new software tool developed by Texas Biomedical Research Institute and collaborators can help scientists and vaccine developers quickly edit genetic blueprints of pathogens to make them less harmful.

Prior research on brain-wide associated studies has shown that links between brain function and structure and traits are so weak that thousands of participants are needed to detect replicable effects. However, a new study suggests stronger links can be obtained when machine learning algorithms are utilized, which can garner high-powered results from moderate sample sizes.