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Investigating Methods for Performance Overdrive (IMPROVE)

Medical Technology Enterprise Consortium (MTEC)

REQUEST ISSUE DATE

February 28, 2020

DUE DATE

April 02, 2020

Awardees

Member
Southern Research
Southern Research

Southern Research (SR) is a nonprofit preclinical contract research institute that has been bridging basic science and commercial solutions for over 80 years. From pioneering chemotherapy research in collaboration with Memorial Sloan Kettering to generating millions of data points in the global fight against COVID-19, SR has consistently been at the forefront of scientific innovation. Our team of experts excels in transforming cutting-edge science into tangible societal benefits, utilizing comprehensive drug discovery and development capabilities to drive innovation and advance life-saving medical breakthroughs. SR collaborates with over 100 industrial partners, the federal government, and numerous academic institutions to advance the development of life-saving medicines.

Funding (ceiling)

$1,074,956

Member
Rensselaer Polytechnic Institute (RPI)
Rensselaer Polytechnic Institute (RPI)

Rensselaer Polytechnic Institute, founded in 1824, is the nation's oldest technological research university. It is renowned for its commitment to applying science and technology to address the world's most pressing challenges. RPI offers a diverse range of programs and fosters a vibrant community of students, faculty, and alumni dedicated to innovation and leadership in various fields.

Funding (ceiling)

$2,133,395.54


Purpose

This solicitation, issued by MTEC, represents a Request for Project Proposals (RPP) for MTEC support of the support of the U.S. Army Medical Research and Development Command (USAMRDC) Joint Program Committee-1 (JPC-1)/Medical Simulation and Information Sciences Research Program (MSISRP). Military relevance is a critical component of Solution Brief submission. Strategic and tactical oversight for the award(s) supported by this RPP will be provided by the JPC-1/MSISRP.

This program aims to support the development of an automated 3D videography system that records trainee skill performance, compares trainee performance to a trained deep learning model of the performance, and provides systematic feedback to the trainee regarding the mismatch between the expected (model) performance and the trainee’s actual performance.

Note: Pending successful completion of this effort, the Government may issue a noncompetitive follow-on production contract or transaction pursuant to 10 USC 2371b section f.

Points of Contact

For inquiries, please direct your correspondence to Biomedical Research Associate Chuck Hutti, Ph.D. at Chuck.Hutti@ati.org.


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