Dr. Sadia Mubarak

Associate Professor Physiology

Artificial Intelligence (AI) is revolutionizing novel research in the medical field, offering transformative capabilities that enhance both the speed and depth of discoveries. In areas like drug development, AI-driven algorithms can sift through massive datasets, identify potential therapeutic targets, and simulate molecular interactions. AI can also predict how certain drugs might perform in clinical trials by analyzing genetic, environmental, lifestyle data, drug efficacy and safety before human testing begins. AI's ability to integrate vast amounts of clinical data opens new frontiers in researching rare diseases, detecting unknown patterns, and proposing innovative solutions that would have been difficult to discover using conventional methods.

The integration of AI into medical student research is transforming how students’ approach and execute their projects. AI aids medical students in conducting literature reviews by quickly scanning and summarizing extensive scientific literature, helping them pinpoint essential studies and gaps in research. AI's capacity to extract relevant insights and propose new research directions fosters critical thinking and innovation, encouraging students to pursue unique and impactful projects. Additionally, AI assists in experiment design and simulation, helping students predict outcomes and refine their research methodologies. This application of AI is helping medical students build strong scientific inquiry skills alongside their clinical knowledge.