Pancreatic ductal adenocarcinoma (PDAC) is notoriously difficult to treat due to its aggressive nature and limited prognostic tools.

A team of scientists has developed a remarkable new approach to modeling how cells behave over time—using a digital "forecast" much like predicting the weather. By combining patient genomics with a ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

The intersection of artificial intelligence (AI) and healthcare presents a transformative frontier, particularly in the global fight against cancer. As healthcare systems worldwide grapple with rising ...

A first-of-its-kind artificial intelligence (AI)-based neural network can rapidly analyze and interpret millions of cells from a patient sample, predicting molecular changes in the tissue. It can ...

Stanford (Calif.) Medicine researchers have trained an AI model to analyze medical imaging data alongside pathology reports to accurately predict cancer prognoses and outcomes, according to a study ...

Microsoft and Providence Health have released GigaTIME, an open-source AI that generates virtual tumor microenvironment data ...

AI models outperform traditional statistics in predicting post-complete cytoreduction outcomes in ovarian cancer patients. AI's diagnostic accuracy was high for predicting overall survival and no ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...