When it comes to big data, investigators aim for high statistical power: the more data points within a research question, the more likely they are to find patterns and associations that could provide insight about different diseases. Technology is advancing each day, capturing more and more information about human behavior, including medical histories, geographic locations, biometric data, lifestyle habits that can be combined in an astounding number of ways.
Experts at Columbia are applying computational methods and algorithms more broadly to mine big data for precise, effective interventions and medicine tailored to the individual.
Learn more about the Department of Biostatistics and its faculty members, including Dr. Ken Cheung’s work in machine learning and artificial intelligence.
