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SBIR PHASE I TOPIC 410 - CANCER CLINICAL TRIALS RECRUITMENT AND RETENTION TOOLS FOR PARTICIPANT ENGAGEMENT.

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 75N91020C00016
Agency Tracking Number: 75N91020C00016-0-9999-0
Amount: $399,594.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 410
Solicitation Number: N/A
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
90 WEST ST APT 12M
NEW YORK, NY 10006-1070
United States
DUNS: 079677336
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Selin Kurnaz
 (734) 262-1020
 skurnaz@massbio.io
Business Contact
 Selin Kurnaz
Phone: (734) 262-1020
Email: skurnaz@massbio.io
Research Institution
N/A
Abstract

The proposed contract is designed to refine and test the feasibility and usability of a Deep Learning Clinical Trial Matching System (DLCTMS) for improving accrual across multiple oncology trials at an NCI-designated Cancer Center (NCICC). This project explicitly meets NCI-identified needs for clinical trial support tools that a) identify protocol barriers to recruitment and present options for addressing the challenge, b) identify effective recruitment strategies, c) integrate with electronic medical records, d) allow for tracking screening efforts, d) are easily adaptable for different trials, e) include provider-based tools to facilitate discussion with potential participants, f) provide access to peer mentors and patient navigators, and g) increase awareness and provide easy access to information on all ongoing clinical trials.

* Information listed above is at the time of submission. *

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