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In this episode, Dr. Arsela Prelaj discusses how AI in clinical trials is transforming cancer research and medical innovation. She explains how using AI in clinical trials improves design, prediction accuracy, and patient outcomes. By integrating advanced data modeling and real-world evidence, artificial intelligence is accelerating discovery and making oncology research more precise and cost-effective. Dr. Prelaj also highlights how the evolution of biomarkers—including ms biomarkers, gfap biomarkers, and the neurofilament light chain—connects to progress in multiple sclerosis research. These biomarkers not only guide biomarker interpretation but also help in early diagnosis and personalized treatment strategies across diseases like multiple sclerosis and cancer. What you’ll learn in this episode: ▶ How AI in clinical trials is reshaping oncology and drug development ▶ Why biomarkers are vital for precision medicine and clinical decision-making ▶ The role of neurofilament light chain and gfap biomarkers in understanding multiple sclerosis treatment ▶ How patient communication in MS and MS patient advocacy are evolving with data-driven care ▶ Insights into managing MS symptoms such as fatigue and MS and cognitive symptoms in MS ▶ How cognitive impairment research bridges neurology and oncology innovation By connecting breakthroughs in AI and multiple sclerosis, Dr. Prelaj illustrates how technology is helping physicians make better decisions, empower patients, and bring personalized care to the forefront of modern medicine. #aiinclinicaltrials #artificialintelligence #oncology #biomarkers #multiplesclerosis #neurofilamentlightchain #gfap #mstreatment #clinicaltrials #drarselaprelaj