UT Arlington's big data analytics could yield better treatment for pain management

Multi-disciplinary team to study in-depth challense of phsycansA UT Arlington multi-disciplinary team is optimizing and integrating volumes of data in a National Science Foundation research project to help physicians make better, more informed decisions about treating patients’ pain. Jay Rosenberger, an associate professor in the Industrial, Manufacturing and Systems Engineering Department, is leading the team, which will work for three years on the $374,998 NSF grant titled: “Statistics-based Optimization Methods for Adaptive Interdisciplinary Pain Management.” The team includes