AI, Machine Learning, and Big Data in Biomarker Discovery
Artificial intelligence and big data analytics are revolutionizing biomarker research by enabling large-scale pattern recognition and predictive modeling. This session explores the use of AI-driven algorithms to identify novel biomarker signatures from genomics, proteomics, and imaging datasets. Experts will demonstrate how machine learning enhances disease classification, patient stratification, and therapeutic target discovery. Attendees will also learn about data integration platforms that merge clinical and omics information for robust biomarker validation.
The session will highlight real-world applications of AI in drug development, clinical trials, and diagnostics. Ethical considerations, data privacy, and the interpretability of AI models will be discussed. Presentations will showcase case studies where predictive analytics improved disease forecasting and personalized treatment planning. Participants will gain practical knowledge on leveraging computational intelligence to accelerate biomarker discovery and streamline clinical translation.
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AI, Machine Learning, and Big Data in Biomarker Discovery Conference Speakers
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