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Center Overview
The mission and vision of the Center to Stream Healthcare In Place (C2SHIP) is to promote in-home healthcare technologies that allow people to manage chronic diseases in their own homes. C2SHIP also seeks to accelerate innovation, multispecialty collaborations, and resource sharing, as well as prepare a workforce able to promote wellness through self-care technologies.
Digital healthcare, which includes wearable, portable, and implantable devices, is regarded as a natural choice for these at-home, “in-place” health applications due to its low cost, high accuracy, and noninvasive monitoring capabilities. The past several years have seen an increase in digital wellness devices, such as wearable sensors, that can collect data in real time and reveal the physical and chemical properties of the body and its environment to evaluate patient wellness. C2SHIP connects clinicians to patients via these devices, allowing clinicians to gather patient data and provide care without patients’ needing to leave their house.
C2SHIP research supports new in-home healthcare designs to help:
- Improve accuracy and efficiency in harnessing new technologies such as noninvasive sensors, mobile platforms, and cloud and edge computing for communication reliability and energy efficiency to maintain cutting-edge digital wellness infrastructures.
- Manage scalability and complexity in creating a network of precision health through automatic detection and interventions that can help hundreds of thousands of patients simultaneously.
- Provide adaptability and agility to ensure adaptive and real-time responses to react quickly to patients’ needs.
C2SHIP will conduct high-impact research in chronic disease management and care delivery with industrial companies of all sizes; enhance U.S. global leadership in healthcare innovative technology development; and identify, mentor, and develop a diverse, highly skilled biomedical science and engineering workforce.
Universities
- Baylor College of Medicine
- University of Missouri
- California Institute of Technology
- University of Southern California
- University of North Dakota
- University of Arizona
Center Personnel
Janet M Roveda
Center Director
+1 520 621 6182
meilingw@email.arizona.edu
Chiara Daraio
Site Director
+1 626 395 8515
Daraio@caltech.edu
David Armstrong
Site Director
+1 520 305 9393
armstrong@usa.net
Bijan Najafi
Center Co-Director and Site Director
+1 713 798 7536
Bijan.Najafi@bcm.edu
Research Focus
C2SHIP funds and directs research in four areas:
- Data mining
- Data streaming
- Design
- Prototype testing
C2SHIP research topics and directions include the following:
- Conducting quick proof of concept clinical studies.
- Delivering effective health care through state-of-the-art infrastructures (e.g., drones, wireless, cloud, smart transportations).
- Designing clinical trials to scientifically validate newly designed technologies or explore new health informatics applications.
- Designing protocols to secure stream data that is compatible with different healthcare protocols (e.g., clinical trials, FDA regulations, HIPAA/HITECH compliance, hospital procurement, Veterans Affairs healthcare system).
- Determining application-centered technology criteria (e.g., form factor, architecture, machine learning, blockchain, data visualization, and multimodal interfaces) to optimize interaction with patients, caregivers, and care providers.
- Determining market fit and gaining customer insights.
- Extracting and validating clinically meaningful information from technologies designed to manage chronic disease.
- Facilitating learning opportunities for users of new technologies.
Awards
As our population ages and regional health disparities grow, significant financial and emotional burdens are imposed on our society, patients, and their families. Advances on many fronts are needed to impact the needs of these patients and assist them in prolonging their autonomy by keeping them in their homes longer and providing a higher level of health monitoring. The Center to Stream Healthcare In Place (C2SHIP) has been established to address these challenges and the six university sites for C2SHIP are University of Arizona, Baylor College of Medicine, University of Southern California, California Institute of Technology, University of Missouri, and the University of North Dakota (UND). C2SHIP brings together leading experts in academic medicine and the biomedical industry to research, develop, and promote in-place care technologies for managing chronic diseases in the home.
C2SHIP has three major thrusts: 1) promoting in-place care technologies, 2) academic-industry partnership & resource sharing, and 3) educating a workforce with the capacity for promoting wellness. In the first two thrusts, C2SHIP's trans-disciplinary innovation and research teams focus on developing new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and artificial intelligence. By using the "Internet of Things," technological approach, patient data can be streamed in real-time to medical professionals in remote locations, creating a mobile hub for vulnerable patients in their homes.
In addition to the first two thrusts, UND contributes expertise to C2SHIP in two unique areas: 1) an innovation-based learning (IBL) model for transdisciplinary student development and 2) indigenous health graduate education. In innovation-based learning, student learning is assessed by developing value from fundamental principles of their discipline while working on transdisciplinary teams.
As with industry 4.0 skill sets, education 4.0 skill sets are distributed across the professional, innovation, and STEM categories using tools such as epistemic network analysis, big data, and learning analytics. Student engagement in the proposed research/innovation projects will create opportunities for multidisciplinary participation at C2SHIP conferences and workshops. UND also adds value to C2SHIP with an important connection to Indigenous people through collaborations with the Indigenous Health Department at UND. Graduate students from this program are our “human-in-the-loop” in the indigenous community looking for health gaps that can be used to inspire solutions within the C2SHIP and IBL process that engenders a knowledgeable workforce for promoting wellness.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
C2SHIP has three major thrusts: 1) promoting in-place care technologies, 2) academic-industry partnership & resource sharing, and 3) educating a workforce with the capacity for promoting wellness. In the first two thrusts, C2SHIP's trans-disciplinary innovation and research teams focus on developing new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and artificial intelligence. By using the "Internet of Things," technological approach, patient data can be streamed in real-time to medical professionals in remote locations, creating a mobile hub for vulnerable patients in their homes.
In addition to the first two thrusts, UND contributes expertise to C2SHIP in two unique areas: 1) an innovation-based learning (IBL) model for transdisciplinary student development and 2) indigenous health graduate education. In innovation-based learning, student learning is assessed by developing value from fundamental principles of their discipline while working on transdisciplinary teams.
As with industry 4.0 skill sets, education 4.0 skill sets are distributed across the professional, innovation, and STEM categories using tools such as epistemic network analysis, big data, and learning analytics. Student engagement in the proposed research/innovation projects will create opportunities for multidisciplinary participation at C2SHIP conferences and workshops. UND also adds value to C2SHIP with an important connection to Indigenous people through collaborations with the Indigenous Health Department at UND. Graduate students from this program are our “human-in-the-loop” in the indigenous community looking for health gaps that can be used to inspire solutions within the C2SHIP and IBL process that engenders a knowledgeable workforce for promoting wellness.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
Chronic health conditions are financially and emotionally costly. Immediate, creative action is needed to provide solutions for managing physical, social and psychological needs that maintain autonomy and quality of life. Research on long-term functioning of those with chronic illnesses is lacking. The Center to Stream Healthcare In Place (C2SHIP) unites the best minds in academic medicine with leaders in biomedical industry to research, develop and promote in-place care technologies for managing chronic diseases in the home. The University of Arizona serves as the C2SHIP Lead Site with Partner Sites being University of Southern California, Baylor College of Medicine, and California Institute of Technology. The Center will accelerate innovation through partnerships, multi-specialty collaborations, and resource sharing. C2SHIP will prepare an educated workforce to promote wellness through self-care technologies.
The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and Artificial Intelligence. Through “Internet of Things”, patient data can be streamed to medical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. University of Southern California (USC) will focus on the clinical medicine aspect of the Center, proving cutting-edge technologies to patients in-place, while training students and fellows in remote patient care.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. USC C2SHIP will recruit students and engage faculty in medicine, biomedical engineering, allied health. USC promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from the projects will be housed in Center-wide servers at the C2SHIP Center using a password protected Box data sharing folder. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. Data will be maintained for five years. USC C2SHIP projects that collect patient data will be approved by USC IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and Artificial Intelligence. Through “Internet of Things”, patient data can be streamed to medical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. University of Southern California (USC) will focus on the clinical medicine aspect of the Center, proving cutting-edge technologies to patients in-place, while training students and fellows in remote patient care.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. USC C2SHIP will recruit students and engage faculty in medicine, biomedical engineering, allied health. USC promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from the projects will be housed in Center-wide servers at the C2SHIP Center using a password protected Box data sharing folder. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. Data will be maintained for five years. USC C2SHIP projects that collect patient data will be approved by USC IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
Chronic health conditions are financially and emotionally costly. Immediate action is needed to shift from current practice, in which frequently the patient is a passive recipient of care to empower patients to have a central active role in self-managing their health. The Center to Stream Healthcare In Place (C2SHIP) unites the best minds in academic medicine and bioengineering with leaders in biomedical industry to research, develop and promote in-place care technologies for fertilizing a patient engagement ecosystem. The University of Arizona serves as the C2SHIP Lead Site with Partner Sites being University of Southern California, Baylor College of Medicine, and California Institute of Technology. The Center will accelerate innovation through partnerships, multi-specialty collaborations, resource sharing, and preparing an educated workforce to promote wellness through self-care technologies.
The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, system integration, intelligent data mining, and comprehensive data visualization. Through “Digital Health”, patient data can be streamed to medical professionals at remote locations, establishing a mobile hub for vulnerable patients in their own home, and personalizing care coordination. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for timely management and intervention. Baylor College of Medicine (BCM) will focus on the clinical medicine aspect of the Center, accelerating translation of cutting-edge technologies to patients in-place, while training students and fellows in remote patient care.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. BCM C2SHIP will recruit students and engage faculty in medicine, biomedical engineering, allied health. BCM promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from the projects will be housed in Center-wide servers at the C2SHIP Center using a password protected Box data sharing folder. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. Data will be maintained for five years. BCM C2SHIP projects that collect patient data will be approved by BCM IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, system integration, intelligent data mining, and comprehensive data visualization. Through “Digital Health”, patient data can be streamed to medical professionals at remote locations, establishing a mobile hub for vulnerable patients in their own home, and personalizing care coordination. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for timely management and intervention. Baylor College of Medicine (BCM) will focus on the clinical medicine aspect of the Center, accelerating translation of cutting-edge technologies to patients in-place, while training students and fellows in remote patient care.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. BCM C2SHIP will recruit students and engage faculty in medicine, biomedical engineering, allied health. BCM promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from the projects will be housed in Center-wide servers at the C2SHIP Center using a password protected Box data sharing folder. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. Data will be maintained for five years. BCM C2SHIP projects that collect patient data will be approved by BCM IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
Chronic health conditions are financially and emotionally costly. Immediate, creative action is needed to provide solutions for managing physical, social and psychological needs that maintain autonomy and quality of life. Research on long-term functioning of those with chronic illnesses is lacking. The Center to Stream Healthcare In Place (C2SHIP) unites the best minds in academic medicine with leaders in biomedical industry to research, develop and promote in-place care technologies for managing chronic diseases in the home. The University of Arizona serves as the C2SHIP Lead Site with Partner Sites being University of Southern California, Baylor College of Medicine, and California Institute of Technology. The Center will accelerate innovation through partnerships, multi-specialty collaborations, and resource sharing. C2SHIP will prepare an educated workforce to promote wellness through self-care technologies.
The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and Artificial Intelligence. Through “Internet of Things”, patient data can be streamed to medical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. The University of Arizona site will focus on the design and develop of new sensors and systems that can perform effective and accurate data analysis using machine learning and Artificial Intelligence technologies.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies , and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. The University of Arizona site will recruit students from diverse backgrounds by engaging them in the proposed research. The University of Arizona site will work with The Center to engage underrepresented undergraduates through cross site workforce development plans and activities.
Data produced from this project will be deposited in servers at the C2SHIP Center using password protected Box data sharing folder and will keep for duration of five years. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. The PIs and Co-PIs at the C2SHIP Center will have password-protected accounts and servers to conduct their research. The proposed study will only collect non-sensitive data. No personal identifiers will be recorded or retained by the researchers in any form. The University of Arizona projects that collect patient data will be approved by The University of Arizona IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and Artificial Intelligence. Through “Internet of Things”, patient data can be streamed to medical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. The University of Arizona site will focus on the design and develop of new sensors and systems that can perform effective and accurate data analysis using machine learning and Artificial Intelligence technologies.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies , and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. The University of Arizona site will recruit students from diverse backgrounds by engaging them in the proposed research. The University of Arizona site will work with The Center to engage underrepresented undergraduates through cross site workforce development plans and activities.
Data produced from this project will be deposited in servers at the C2SHIP Center using password protected Box data sharing folder and will keep for duration of five years. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. The PIs and Co-PIs at the C2SHIP Center will have password-protected accounts and servers to conduct their research. The proposed study will only collect non-sensitive data. No personal identifiers will be recorded or retained by the researchers in any form. The University of Arizona projects that collect patient data will be approved by The University of Arizona IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
Hospitalization costs in the United States are among the world’s highest. However, such costs do not reflect highest quality of care, particularly for chronic health conditions. Immediate action is needed to shift from a model relying on care in hospital settings, to a model in which patients manage their health from home. The Center to Stream Healthcare In Place (C2SHIP) unites the best minds in medicine and bioengineering with leaders in biomedical research and industry, to develop and promote in-place care technologies. The University of Arizona serves as the C2SHIP Lead Site with Partner Sites being University of Southern California, Baylor College of Medicine, and California Institute of Technology. C2SHIP will accelerate innovation through partnerships, multi-specialty collaborations, resource sharing, and educating workforce to promote self-care technologies.
The Center’s trans-disciplinary team will pursue research and development in new sensors, wearable technology, system integration, intelligent data mining, and comprehensive data visualization. Through “Digital Health”, patient data can be streamed to medical professionals at remote locations, establishing a mobile hub for vulnerable patients in their own home, and personalizing care coordination. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for timely management and intervention. Caltech will focus on developing new materials, devices, and artificial intelligence tools for data analysis and visualization. Caltech will collaborate with other sites for the clinical evaluation of the developed technologies.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, and transform health care delivery by enhancing the quality of life of chronically-ill patients, while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. Caltech will recruit students and engage faculty across Divisions, e.g., in engineering, chemistry and biology. Caltech promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from the projects will be housed at C2SHIP Center’s shared servers using a password protected Box data sharing folder. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. Data will be maintained for five years. Caltech’s projects that collect patient data will be approved by its IRB office prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
The Center’s trans-disciplinary team will pursue research and development in new sensors, wearable technology, system integration, intelligent data mining, and comprehensive data visualization. Through “Digital Health”, patient data can be streamed to medical professionals at remote locations, establishing a mobile hub for vulnerable patients in their own home, and personalizing care coordination. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for timely management and intervention. Caltech will focus on developing new materials, devices, and artificial intelligence tools for data analysis and visualization. Caltech will collaborate with other sites for the clinical evaluation of the developed technologies.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, and transform health care delivery by enhancing the quality of life of chronically-ill patients, while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. Caltech will recruit students and engage faculty across Divisions, e.g., in engineering, chemistry and biology. Caltech promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from the projects will be housed at C2SHIP Center’s shared servers using a password protected Box data sharing folder. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. Data will be maintained for five years. Caltech’s projects that collect patient data will be approved by its IRB office prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
Chronic health conditions are financially and emotionally costly. Creative solutions are needed for managing physical, social, and psychological needs that empower patients and help maintain autonomy and quality of life. The Center to Stream Healthcare In Place (C2SHIP) unites the best minds in academic medical and engineering disciplines with leaders in biomedical industry to research, develop and promote in-place care technologies for managing chronic health conditions in the home. The Center will accelerate innovation through partnerships, multi-specialty collaborations, and resource sharing. C2SHIP will prepare an educated workforce to promote wellness through self-care technologies.
C2SHIP’s trans-disciplinary team will pursue research and development in new sensors, human-centered designs, and system integration with physiological modeling, machine learning, and Artificial Intelligence. Through an “Internet of Things”, patient data can be streamed to clinical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. The University of Missouri (MU) site will focus on the design and development of new sensing systems that produce secure, clinically relevant, data-driven analysis for supporting older adults and their family members.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, transform healthcare delivery, and enhance the quality of life of chronically ill patients, while reducing healthcare costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations and provide multidisciplinary participation at C2SHIP conferences and workshops. MU C2SHIP will recruit students and engage faculty in engineering, medicine, nursing, and health professions. MU promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from C2SHIP projects will be housed on university-supported OneDrive storage, which is available to all MU faculty, staff, and students. OneDrive is a Microsoft cloud-based, file storage platform, that supports file sharing inside and outside of MU. Data will be maintained for five years. MU C2SHIP projects that collect participant data will be approved by the MU IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form. In addition, a center-wide website will be maintained at https://c2ship.org/ to provide up-to-date information on C2SHIP news and events.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
C2SHIP’s trans-disciplinary team will pursue research and development in new sensors, human-centered designs, and system integration with physiological modeling, machine learning, and Artificial Intelligence. Through an “Internet of Things”, patient data can be streamed to clinical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. The University of Missouri (MU) site will focus on the design and development of new sensing systems that produce secure, clinically relevant, data-driven analysis for supporting older adults and their family members.
The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies, transform healthcare delivery, and enhance the quality of life of chronically ill patients, while reducing healthcare costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations and provide multidisciplinary participation at C2SHIP conferences and workshops. MU C2SHIP will recruit students and engage faculty in engineering, medicine, nursing, and health professions. MU promotes an inclusive environment, allowing the Center to engage underrepresented individuals from diverse backgrounds.
Data produced from C2SHIP projects will be housed on university-supported OneDrive storage, which is available to all MU faculty, staff, and students. OneDrive is a Microsoft cloud-based, file storage platform, that supports file sharing inside and outside of MU. Data will be maintained for five years. MU C2SHIP projects that collect participant data will be approved by the MU IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form. In addition, a center-wide website will be maintained at https://c2ship.org/ to provide up-to-date information on C2SHIP news and events.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. Read More >
Member Organizations
IUCRC affiliated member organizations are displayed as submitted by the Center. Non-federal organizations are not selected, approved, or otherwise endorsed by the U.S. National Science Foundation.- BestBuy
- Heritage
- Masimo
- Medline
- Neuromatrix
- Rockley
- Safetyspec
- Smartek 21
- SWM
- ThinkLabs
- Vadum
- Valsem
- Vibrent
The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.