Xinning Zhang and Ashley Maloney discovered that a geology technique shows promise in detecting cancer-like cells. If their ...

CVD and PDAR cancer mortality) was examined using Cox proportional hazards model among non-pregnant, apparently healthy participants with complete data on exposure measures and covariates. To minimise ...

Hence, this study aims to develop and validate a respite care model for adult patients with cancer in Iran. Methods and analysis ... (electronically via web-based form software), and if necessary, ...

Background Precise prognostic information, if available, is very helpful for guiding treatment decisions and resource allocation in patients with non-cancer ... score and web application. The ...

Outcomes All-cause mortality and cause-specific mortality (cardiovascular, cancer, non-cardiovascular non-cancer ... Mendelian randomisation design minimises bias due to confounding and reverse ...

Methods Based on UK Biobank (UKB) and China Kadoorie Biobank (CKB), we estimated the effects of four SES factors on transitions from baseline to CMM in situ, subsequently to invasive CMM and further ...

Researchers at the Johns Hopkins Kimmel Cancer Center and Bloomberg-Kimmel Institute for Cancer Immunotherapy have developed ...

A new project at Purdue University that combines many types of available data in a “digital twin” model of bladder cancer may prove powerful enough to predict patient outcomes.

Excess body weight—including overweight and obesity—is a significant risk factor for cancer. Research from the American Cancer Society estimates that it contributes to approximately 5 percent of ...

This advancement enables more precise identification of genes closely associated with cancer progression, which is essential for developing personalized treatment strategies. Moreover, the model's ...

A novel AI model was able to achieve 99.86% accuracy for diagnosing skin conditions, even in people with darker skin tones or ...

A new artificial intelligence model developed by Stanford Medicine combines clinical notes and pathology images to predict ...