This Government Contract opportunity was posted on September 29, 2010. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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RECOVERY-Computational Thinking to Support Clinicians and Biomedical Scientists (Part B-Full and Open

Awarded

HHS-NIH-NLM-RDS-10-121-KPFederal

Submission Closed09/24/2010, 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: 541519

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Das500000 Office Of Information Technlgy Gsvc

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AppEnhancer Software Support RenewalThis subcontract focuses on the annual software support and maintenance renewals for the AppEnhancer software suite, specifically serving prime contractors engaged in State of Alabama IT projects. The primary objective is to provide software maintenance licenses that guarantee uninterrupted access to technical support, patches, and original equipment manufacturer updates throughout the period of performance. To be eligible, providers must maintain E-Verify compliance and possess a valid Manufacturer's Reseller Authorization. The contract is categorized under NAICS code 541519 and is managed by the Alabama IT agency, with a response deadline set for October 23, 2026.

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AppEnhancer Support Renewal

Solicitation # SRC0000037235

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Data Integration Security and Authorization SupportThe Data Integration Security and Authorization Support subcontract, issued by the Department of Veterans Affairs Technology Acquisition Center Nj, focuses on performing security assessments and managing authorization readiness for prime contractors on OIT projects. The scope of work includes conducting security audits, managing Authority to Operate documentation, and implementing privacy controls through the use of vulnerability scanners and GRC tools. All activities must comply with FedRAMP, NIST, and VA cybersecurity policies to ensure the delivery of comprehensive security assessment reports, ATO packages, and compliance certifications. This opportunity falls under NAICS code 541519, with a response deadline set for November 4, 2026.

Technology Acquisition Center Nj (36C10B)

POSTED

1 day ago

DEADLINE

in 14 days

AI Contract Overview

The National Institutes of Health awarded a firm-fixed price contract, number HHSN276201000028C, to Rutgers, The State University of New Jersey for the project titled Visual Clinical Problem Threading for Case Summarization. Funded through the American Recovery and Reinvestment Act as part of the Medical Advanced Research Projects Initiative, the contract is valued at 300,216.00 dollars. The period of performance spans from September 27, 2010, to September 26, 2011. The primary objective of this initiative is to evaluate the feasibility of innovative computational thinking approaches to assist clinicians, biomedical scientists, and patients in solving significant cognitive tasks. By developing and testing these computational methods, the National Library of Medicine aims to achieve technological advances that directly improve medical care for the public. This award was the result of a competitive negotiation process limited to other than small businesses.

General Info

Agency

N/A

Contract Value

$378,000

NAICS

541519 - Other Computer Related Services

Place of Performance

NJ, USA

Set-Aside

NONE

Awardee

Stanford University STANFORD CA 94305 USA

Award Issued Date

09/23/2010, 12:00:00 AM UTC

Documents

No documents available

Documents will appear here when they are available.

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Timeline

PhaseAwarded

PostedSep 24

Award Notice

AwardedSep 23

Contract was awarded

Submission Closed

09/24/2010, 12:00:00 PM UTC

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Organization & Contact Information

AgencyN/A

Contacts1 person available

OfficeN/A

Organization / Agency

N/A

Office AddressN/A

Contacts

Suet Y Vu

contact@example.gov

+1 (555) 000-0000

Full Description

THIS NOTICE IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY UNDER THE NATIONAL INSTITUTES OF HEALTH CONTRACT NUMBER HHSN276201000028C, RFP No. HHS-NIH-NLM-RDS-10-121-KP, entitled "RECOVERY-Computational Thinking to Support Clinicians and Biomedical Scientists (Part B-Full and Open)". In accordance with FAR Part 5.7 Publicizing Requirements under the American Recovery and Reinvestment Act, this is a notification of award on competitive, firm-fixed price, procurement using American Recovery and Reinvestment Act funding. As part of its "Medical Advanced Research Projects Initiative", the National Library of Medicine (NLM) wishes to evaluate the feasibility of using innovative computational thinking approaches to enhance the ability of clinicians and biomedical scientists to solve one or more significant cognitive tasks and bring improvements in medical care to patients, families and the public. The focus of this requirement is to fund meritorious projects that are innovative and offer significant technological advances in NLM's mission in the fields of science and health. This requirement was competed and awarded in accordance with Federal Acquisition Regulations (FAR) Part 15 Contracting by Negotiation. Competition was limited to other than small businesses. It is the intent of the National Institutes of Health (NIH) to award a firm-fixed price contract in the amount of $300,216.00 to Rutgers, The State University of New Jersey (DUNS No. 001912864) under contract no. HHSN276201000028C entitled, "Visual Clinical Problem Threading for Case Summarization". Under the aforementioned contract, the period of performance will be from September 27, 2010 - September 26, 2011. The objective of this project is to conduct research feasibility or proof of concepts studies that will: 1) develop and test computational approaches to one or more significant cognitive problems as commonly encountered by clinicians, clinical researchers, biologists, or patients; and 2) bring improvement in medical care to patients, families and the public. This notice is for information purposes only. This is not a RFQ nor is a RFQ available. If you have questions, please contact Suet Vu at vus@mail.nih.gov.

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