A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying transplant ...

Prostate cancer (PCa) represents a highly heterogeneous disease that requires tools to assess oncologic risk and guide patient management and treatment planning. Current models are based on various ...

An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...

Heart failure, in the simplest of terms, indicates that a problem with the ventricles is preventing the heart from filling and/or pumping correctly. It is the result of a complex mechanical and ...

Researchers have reported initial findings from a public-private partnership between the ECOG-ACRIN Cancer Research Group and ...

Non-communicable diseases (NCDs) such as cardiovascular diseases, diabetes, cancer, and chronic respiratory conditions are the leading cause of death globally, accounting for 74% of all deaths ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Parkinson’s disease (PD) is a growing global health challenge, affecting millions worldwide and imposing significant burdens ...