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This Government Contract opportunity from Department Of Veterans Affairs was posted on May 11, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Data Analytics and Algorithm Development for Remote Monitoring

Closed
Federal

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The contract focuses on the development of predictive algorithms designed to enable early detection of respiratory compromise through the analysis of multimodal sensor data. A primary objective is to enhance the accuracy of these algorithms by minimizing false alarms, thereby improving reliability and clinical utility. The work emphasizes advanced time-series analysis techniques to extract meaningful patterns from continuous physiological sensor streams, supporting timely intervention and improved patient outcomes. This subcontract, posted by the Department of Veterans Affairs under the title "Data Analytics and Algorithm Development for Remote Monitoring," calls for expertise in data analytics and algorithm design within the NAICS code 511210. The solicitation was made available on May 11, 2026, with a proposal deadline set for May 26, 2026. Although specific location and point of contact details are not provided, the contract represents a significant opportunity to contribute to remote health monitoring technology aimed at veterans and other healthcare populations serviced by the agency.

General Info

Develop predictive algorithms using multimodal sensor data for early respiratory compromise detection.

Agency

Department Of Veterans Affairs → Rpo East (36C24E)

NAICS

511210 - NAICS Code 511210View NAICS

Place of Performance

PA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → Rpo East (36C24E)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → Rpo East (36C24E)
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop predictive algorithms for early detection of respiratory compromise using multimodal sensor data, focusing on false alarm reduction and time-series analysis.