Navigating the complexities of critical care clinical trials, particularly when facing the issue of "truncation due to death," is crucial for obtaining unbiased, clear, and meaningful results. Patient-centered outcomes affected by death before they can be fully measured pose significant challenges,
The intricate relationship between socioeconomic development and the global cancer burden is a critical area of study that warrants thorough exploration. Utilizing data from the GLOBOCAN 2020 report, this article delves into the disparities in cancer incidence, mortality, and healthcare outcomes
Artificial intelligence (AI) has garnered significant attention in recent years, particularly within the medical field for its potential to revolutionize various aspects of healthcare. The integration of AI in breast cancer detection promises not only an increase in accuracy but also a potential
Stanford Medicine researchers have recently introduced an innovative artificial intelligence (AI) model named MUSK (multimodal transformer with unified mask modeling) that significantly improves the accuracy of cancer prognosis predictions. By integrating both visual and textual medical data, this
Groundbreaking research conducted by a collaborative team from Mount Sinai and Memorial Sloan Kettering Cancer Center has unveiled a novel mechanism by which monoamine neurotransmitters, specifically serotonin, dopamine, and histamine, regulate brain physiology and behavior. This research
The impact of chemicals on child health is a growing concern, with experts calling for a new regulatory framework to address the risks posed by synthetic chemicals and plastics. The current lack of stringent regulations allows potentially harmful products to enter the market, contributing to rising