Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...

An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...

A new machine-learning approach for prostate-specific membrane antigen (PSMA) treatment of metastatic castration-resistant prostate cancer (mCRPC) could estimate radiation dose to tumors and healthy ...

Cancer immunotherapy has significantly changed the clinical management of multiple malignancies, yet substantial challenges remain in identifying which ...

Hepatic and pancreatic oncology is at the forefront of medical research due to the persistently high morbidity and mortality associated with these cancers.

Abstract: Worldwide, breast cancer ranks high among women's leading causes of mortality. The likelihood of mortality from breast cancer can be decreased with early detection and rapid treatment. Among ...

Abstract: Traditional econometric models, such as the Fixed Effects Model (FEM) and Random Effects Model (REM), effectively address structured datasets by capturing fixed and inter-group variability ...

When it comes to medtech programming languages, there are a number that enable professionals to get ahead in the sector.