Purpose We reviewed existing personalized, web-based, interactive decision-making tools
available to guide breast cancer treatment and survivorship care decisions in clinical …

Worldwide, breast cancer has an eminent morbidity and mortality rate, as it is a neoplastic
disease among females. The query of the prospective danger of bovine leukemia virus …

Simple Summary The lung immune prognostic index (LIPI) is proposed as a simple risk
scoring tool to differentiate differences in survival from immune checkpoint inhibitors (ICIs) in …

Simple Summary Machine learning (ML) is a form of artificial intelligence that could be used
to enhance the efficiency of developing accurate prediction models for survival outcomes …

Introduction Neutropenia and diarrhoea are common and potentially serious adverse events
associated with abemaciclib in advanced breast cancer (ABC), and the risk factors have …

Background Abemaciclib is a CDK4/6 inhibitor used to treat hormone receptor–positive,
human epidermal growth factor receptor 2–negative advanced breast cancer. The …

Phenolic phytochemicals are a group of organic compounds with potent antioxidant features
but can also act as powerful pro-oxidants. These characteristics are effective in reducing …

Simple Summary This study aimed to develop an innovative non-linear statistical model to
predict clinical benefit in women with newly diagnosed breast cancer. A logistic generalized …

Introduction Patients with breast cancer (BC) after surgery are prone to negative
physiological and psychosocial discomforts which cause the poor quality of life (QoL) among …

Background Breast cancer is the second leading cause of death in women worldwide.
Notwithstanding all medical advances, nowadays, we confront the emergency demands of …