This Solicitation opportunity from Department Of Defense was posted on April 21, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Virtual-Integrated Twin for Autonomous Lifesaving (VITAL)

Closed

DARPA-PS-26-26Federal

Submission Closed06/25/2026, 12:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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NAICS: 541714

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AI Contract Overview

The Virtual-Integrated Twin for Autonomous Lifesaving (VITAL) program, solicited by the Defense Advanced Research Projects Agency (DARPA), seeks innovative solutions for creating continuously updating digital twin models of the cardiovascular system. These models are designed to integrate patient-specific data with biological physics to simulate real-time clinical interventions and predict outcomes before any actual treatment is applied. The program aims to pioneer a shift in medical care from reactive to anticipatory intervention by enabling decision support grounded in causal, predictive models. This approach promises to enhance clinical outcomes across acute, chronic, and emergent healthcare scenarios by helping clinicians and autonomous systems evaluate treatment options effectively and reliably. Amendment 1 to the solicitation clarifies the deadline for submission of proposal abstracts as well as the specific requirements for the 7-page proposal abstract section. The solicitation details important dates, including the response deadline of June 25, 2026. DARPA, through this solicitation under NAICS code 541714, is calling for proposals that define when various modeling techniques—such as mechanistic digital twins, reduced-order models, and data-driven inference—are dependable and actionable in clinical settings. The program is managed by Dr. Roozbeh Jafari at DARPA's Biological Technologies Office, with contact and further information accessible via the official solicitation portal.

General Info

DARPA's VITAL program seeks proposals for real-time cardiovascular digital twins by June 25, 2026.

Agency

Department Of Defense → Defense Advanced Research Projects AgcyView Agency

NAICS

541714 - Research and Development in Biotechnology (except Nanobiotechnology)View NAICS

Place of Performance

Set-Aside

NONE

Documents

(6)

DARPA-PS-26-26 VITAL Abstract Template and Instructions

DOCX•abstract-template

DARPA-PS-26-26.pdf

PDF

DARPA-PS-26-26 Amendment 01 to VITAL Program Solicitation

PDF•amendment

Attachment_B_Abstract_Summary_Slide_Template.pptx

PPTX

Attachment_C_VITAL_OPP_Package_Guidance_.docx

DOCX

DARPA-PS-26-26 VITAL Abstract Template and Instructions

DOCX•abstract-template

AI Contract Breakdown

Uniform Contract Format

Timeline

1 update

PhaseClosed

PostedApr 9

Solicitation

Amendment 1Apr 21

Contract was updated

Response DeadlineJun 25

Deadline has passed

Submission Closed

06/25/2026, 12:00:00 PM UTC

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Organization & Contact Information

AgencyDepartment Of Defense → Defense Advanced Research Projects Agcy

Contacts1 person available

OfficeARLINGTON, VA, 222032114, USA

Organization / Agency

Department Of Defense → Defense Advanced Research Projects Agcy

View Agency Profile

Office AddressARLINGTON, VA, 222032114, USA

Contacts

Dr. Roozbeh Jafari Program Manager DARPA/BTO

contact@example.gov

Full Description

UPDATE: The purpose of Amendment 1 to DARPA-PS-26-26, the Virtual-Integrated Twin for Autonomous Lifesaving (VITAL) Program Solicitation (PS), is to clarify the proposal abstract questions deadline and the 7-page proposal abstract section requirements.

The Defense Advanced Research Projects Agency (DARPA) is soliciting innovative approaches to address challenges in developing continuously updating digital twin models of the cardiovascular system that combine patient data with biological physics to simulate in real time possible interventions and to predict their outcomes before actual intervention on a patient. The VITAL program will establish a foundation for causal, prediction-driven decision support in medicine, enabling clinicians and future autonomous systems to evaluate treatment options before they are applied. By defining when mechanistic digital twins, reduced-order models, and data-driven inference are reliable and actionable, VITAL will shift medical care from reactive assessment to anticipatory intervention. This capability has the potential to improve outcomes across acute, chronic, and emergent clinical settings.