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/*! elementor - v3.11.5 - 14-03-2023 */.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block} Collaborating Investigator: Dr. Zach Ives, University of Pennsylvania (PI: Dr. Santosh Kumar, University of Memphis) Funding Status: ACI-1640183 NSF/ACI 9/01/16 - 8/31/21 Associated with: TR&D3 /*! elementor - v3.11.5 - 14-03-2023 */.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))} Significance Approach & Push Pull Relationship There are major hurdles to using mobile sensor data to advance research on computational modeling of human health and behavior, including lack of access to...

/*! elementor - v3.11.5 - 14-03-2023 */ .elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=".svg"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block} Collaborating Investigator: Dr. Omer Inan, Georgia Institute of Technology Funding Status: 1R01HL130619-01A1 NIH/NHLBI 04/01/2016 – 03/31/2021 Associated with: TR&D3 /*! elementor - v3.11.5 - 14-03-2023 */ .elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))} Significance Approach & Push Pull Relationship CP6 is developing an unobtrusively wearable system for continuously monitoring heart failure (HF) patients in naturalistic settings to automatically assess their risk of experiencing an exacerbation so that appropriate and timely...