Big Data

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

The potential application of GPT-4, a large language model (LLM), in simplifying diabetes management by accurately interpreting continuous glucose monitoring (CGM) data and generating actionable insights is a promising development in healthcare. Researchers have been exploring innovative ways to

The healthcare industry is witnessing an unprecedented advancement with the introduction of AI-powered wearable cameras designed to detect and prevent medication errors. These errors are a significant concern, contributing to a substantial number of preventable harms, with medication errors alone

Autoimmune diseases occur when the immune system erroneously targets the body's own cells and tissues. These diseases usually present a preclinical stage with mild symptoms or specific antibodies detectable in blood tests before the disease fully manifests. However, in some cases, these

Randomized controlled trials (RCTs) are widely recognized as the gold standard for evaluating the efficacy of interventions. In the context of HIV research in Africa, multicenter RCTs are particularly valuable due to the diverse socio-cultural and geographical settings. This scoping review aims to

Asthma is the most prevalent chronic respiratory disease in children, disproportionately affecting racially and ethnically minoritized populations in the United States. Puerto Rican and non-Hispanic Black youths, in particular, experience higher rates of emergency department visits due to asthma