This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Rutgers Develops New Tool for Examining Cancer Genomic Data that Could Improve Treatment When scientists sequence tumor DNA, ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

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A novel F-actin-binding motif consisting of an α-helix hairpin from a Legionella pneumophila lysine fatty acyltransferase has the potential to be developed as an F-actin probe.

In the evolving landscape of oncology, skin cancer diagnosis stands out as a domain where the synergy between AI and multimodal imaging is rapidly changing ...