A Pilot Study of Breast Cancer Histopathological Image Classification Using Google Teachable Machine: A No-Code Artificial Intelligence Approach.

Introduction Breast cancer remains a major global cause of cancer-related mortality, where histopathology serves as the diagnostic cornerstone. However, inter-observer variability and increasing diagnostic workload necessitate innovative solutions. This pilot study assesses the feasibility and diagnostic performance of a no-code, browser-based artificial intelligence platform, Google Teachable Machine (GTM; Google Creative Lab, New York, NY, USA), for classifying breast histopathology images into clinically relevant categories.

Serum Uric Acid and Iron Status: Exploring a Complex Interaction in Metabolic Syndrome Patients of Eastern India.

Background: Metabolic syndrome, a cluster of illnesses including insulin resistance, hyperlipidemia, hypertension, and central obesity, is affecting roughly a quarter of the world population. Dysregulation of iron homeostasis may be associated with insulin resistance, leading to metabolic syndrome. Uric acid is an antioxidant currently studied in relation to several metabolic disorders.

Unravelling the Intricate Relationship Between Oxidative Stress and Endothelial Dysfunction in Hypertension.

Introduction: Hypertension (HTN), a leading risk factor for cardiovascular diseases, is intricately linked with endothelial dysfunction, a hallmark of vascular pathology. The effect of oxidative stress in maintaining the optimum endothelial function in the regulation of blood pressure is yet to be explored. While numerous factors contribute to the pathogenesis of HTN, emerging evidence highlights the pivotal role of oxidative stress in endothelial dysfunction, offering novel insights into the underlying mechanisms.