Grace C.Y. Peng

TL;DR: This review identifies areas in the biomedical sciences where machine learning and multiscale modeling can mutually benefit from one another and identifies applications and opportunities, raise open questions, and address potential challenges and limitations.

TL;DR: Scientific advances produced by individual laboratories, multi-investigator teams, and entire consortia that will produce more comprehensive and dynamic maps of the brain, deepen the understanding of how circuit activity can produce a rich tapestry of behaviors, and lay the foundation for understanding how its circuitry is disrupted in brain disorders are described.

TL;DR: The results of discussion on potential areas of future development, barries to overcome, and suggestions to translate the promise of telehealth applications into a transformed environment of training, education, and research in the health sciences are presented.

TL;DR: Ten Rules for credible practice of modeling and simulation in healthcare are provided, developed from a comparative analysis by the Committee’s multidisciplinary membership, followed by a large stakeholder community survey, to establish a unified conceptual framework for modeled and simulation design, implementation, evaluation, dissemination and usage across the modeling and Simulation life-cycle.

TL;DR: A framework for conducting the research needed to define such an effective SCS procedure that might seek Food and Drug Administration approval and be implemented at the population level is outlined.