Artificial intelligence is increasingly transforming the landscape of early cancer detection by enabling faster, more precise identification of subtle imaging, pathological, and biomarker-based abnormalities. Advanced AI-driven tools are helping improve diagnostic accuracy, support risk stratification, and facilitate timely intervention across multiple cancer types. Obesity and metabolic dysfunction-associated steatohepatitis (MASH) are closely linked to rising cardiometabolic and hepatic complications, making early risk assessment and targeted management increasingly important in clinical practice.
Effective metabolic risk management involves a comprehensive approach that includes weight reduction, glycemic control, cardiovascular risk evaluation, and strategies to prevent progression to advanced liver disease. In association with the Global Association of Physicians of Indian Origin,…
