Milwaukee School of Engineering and the Clinical and Translational Science Institute of Southeast Wisconsin (CTSI) are accepting applications for the 2023 Deep Learning Ensemble. Faculty and researchers are invited to submit a Request for Funding Assistance (RFA) to support medically focused research that leverages deep learning and machine learning to solve an unmet patient need. One Ensemble will be supported with a grant of up to $50,000.  

The mission of an Ensemble is to integrate clinical and research faculty, community stakeholders, and health system representatives in highly innovative and efficient units to address the unmet clinical needs of our patients and our communities, and to assist in translating basic science discoveries into treatments and interventions.  

Ensembles are groups that may be comprised of appropriate basic, clinical and translational investigators, clinicians, patients, patient advocacy groups, community stakeholders and health system experts to provide solutions to unmet health needs emanating from the clinic, community, and laboratory. This design allows for identification of real unsolved patient care problems and provides the opportunity for the Ensemble members to develop a solution to these unmet patient needs.  

A successful proposal will (1) describe the importance of the unmet patient medical need, (2) describe a robust team with diverse stakeholder composition, and (3) describe potential products that result from the Ensemble’s research, e.g., a device, clinical process, medication, biomarker, clinical trial, extramural grant, technology, or programmatic shift, etc.  

Once funding is approved, Ensembles will begin working on the delivery of potential products and provide an annual progress report. They also will have the support of a CTSI Project Manager. The Ensemble Review Committee will evaluate the annual progress report, and contingent upon adequate progress, funding and Project Management support will be approved for another year.  


To learn more and apply, visit the CTSI website.  The deadline to submit an RFA is March 22, 2023.