Advancing Superior Accuracy in Early Lung Cancer Detection Using Selective Metabolic Pathways and Data Enrichment for ...

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the ...

UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.

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 ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Even as cancer treatment becomes more advanced, more people are contending with the disease than ever before. Now, a landmark collaboration between the Stanford Cancer Institute and the UCSF Helen ...