This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will provide $333,334.00 to support research on automating complex therapeutic loops with conflicts in medical cyber-physical systems. The work will develop innovative algorithms to enable safe automated patient monitoring, treatment guidance, and reconciliation of potentially conflicting medical treatments. Key objectives include: (i) physiological monitoring using sequential filtering, (ii) mediation of complex therapeutic loops with multivariable nonlinear output-feedback control and barrier certificates, and (iii) dynamic updating of treatment setpoints using population-informed adaptation. The research will be conducted by the Regents of the University of Minnesota, with a project period from Apr 15, 2024 to Mar 31, 2027. The successful completion of this project is expected to lead to transformative technologies that can advance autonomy in next-generation medical cyber-physical systems.
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