Notice of Intent to Sole Source.pdf

Synopsis No. 75N94025Q00241

NICHD, Office of Acquisitions

Title: Developing Mathematical Models to Simulate the

Effects of Physical Activity on Cardiovascular Incidence and

Mortality among Breast Cancer Survivors

Presolicitation

SYNOPSIS

General Information

Document Type: Presolicitation

Synopsis Number: 75N94025Q00241

Posted Date: September 10, 2025

Original Response Date: September 20, 2025

Current Response Date: September 20, 2025

Set Aside: N/A

NAICS Code: 541990

Contracting Office Address

NICHD

6710B Rockledge Dr.

Bethesda, Maryland 20892

Description

INTRODUCTION

THIS IS A PRE-SOLICITATION NON-COMPETITIVE (NOTICE OF INTENT) SYNOPSIS

TO AWARD A CONTRACT OR PURCHASE ORDER WITHOUT PROVIDING FOR FULL

OR OPEN COMPETITION (INCLUDING BRAND-NAME).

The National Institutes of Health (NIH), National Institute of Child Health and Human

Development (NICHD), Office of Acquisitions (OA) intends to negotiate and award a contract without providing for full and open competition (Including brand-name) to:

Albert Einstein College of Medicine

1300 Morris Park Avenue, Block 406

Bronx, NY 10461

NORTH AMERICAN INDUSTRY CLASSIFICATION SYSTEM (NAICS) CODE

The intended procurement is classified under NAICS code 334516 with a Size Standard 1,000.

REGULATORY AUTHORITY

The resultant contract will include all applicable provisions and clauses in effect through the

Federal Acquisition Circular (FAC) 2005-99-1, July 16, 2018. This acquisition is conducted under the procedures as prescribed in FAR subpart 13-Simplified Acquisition Procedures at an amount not exceeding the simplified acquisition threshold ($250,000).

STATUTORY AUTHORITY

This acquisition is conducted under the authority of the Federal Acquisition Regulation (FAR)

Part 13-Simplified Acquisition Procedures, Subpart 13.106-1 (b) (1), Soliciting from a single source and is not expected to exceed the simplified acquisition threshold. Contracts awarded using

FAR Part 13-Simplified Acquisition Procedures are exempt from the requirements of FAR Part 6-

Competition Requirements.

GENERAL INFORMATION

1. Title: Developing Mathematical Models to Simulate the Effects of Physical Activity on

Cardiovascular Incidence and Mortality among Breast Cancer Survivors

2. Background Information: Dr. Clyde Schechter is a nationally recognized researcher with over three decades of experience in Bayesian Statistics and Mathematical Modeling, with a particular emphasis on medical decision-making and breast cancer control. He currently serves as a Professor of Family & Social Medicine at the Albert Einstein College of Medicine and

Montefiore Medical Center.

Dr. Schechter possesses unique expertise required to derive a new mathematical module designed to predict cardiovascular risk among breast cancer survivors. He is the only mathematician and Bayesian statistician in the United States with the knowledge of our current modeling approach, enabling him to ensure full compatibility with existing models while advancing their functionality.

For the past 30 years, Dr. Schechter has played a central role in the creation, development, and application of the Spectrum model (Model GE) within the Cancer Intervention and

Surveillance Modeling Network (CISNET) breast cancer modeling collaborative. His contributions span the conceptual framework, epidemiological underpinnings, and computational implementation of the model. Notably, he has been solely responsible for the programming and testing of the CISNET Model GE, which has underpinned numerous high-impact publications assessing screening strategies and treatment outcomes in diverse populations.

His scholarly output includes over 200 peer-reviewed journal articles, 3 book chapters, and 4 invited editorials. His expertise and long-standing contributions position him uniquely to develop and validate a new Bayesian mathematical module capable of assessing cardiovascular event risk in breast cancer survivors. This advancement directly supports the mission of Dr. Jayasekera’s Decision Sciences Lab at the National Institute on Minority

Health and Health Disparities (NIMHD), NIH, furthering innovative approaches to improve health outcomes and equity.

CLOSING STATEMENT

This synopsis is not a request for competitive proposals. However, interested parties may identify their interest and capability to respond to this notice. Responses to this notice shall contain sufficient information to establish the interested parties' bona-fide capabilities for fulfilling the requirement and include a technical proposal, a cost-price proposal, the period of performance, the

Unique Entity ID (UEI), the Taxpayer Identification Number (TIN), and the certification of business size. All offerors must have an active registration in the System for Award Management

(SAM) www.sam.gov.

A determination by the Government not to compete this proposed contract based upon responses to this notice is solely within the discretion of the Government. The information received will normally be considered solely for the purposes of determining whether to proceed on a non-competitive basis or to conduct a competitive procurement.

All responses must be received by September 20, 2025 at 9:00 AM Eastern time and must reference solicitation number 75N94025Q00241. Responses may be submitted electronically to

Mr. Michael Falzone, Contracting Officer at Michael.falzone@nih.gov. Fax responses will not be accepted.

"All responsible sources may submit a capability statement, proposal, or quotation, which shall be considered by the agency.”

http://www.sam.gov/