NOTE: This cube received $30K MICHR Diamond Funding
Tumors of the surface of the eye can carry significant morbidity and mortality. While several types of lesions of the surface of the eye are benign, the differentiation of cancerous growths of the ocular surface from non-cancerous growths is of utmost importance. Furthermore, the identification of the specific type of lesion present is essential to the development of the appropriate treatment plan. A growing body of literature has demonstrated that ocular surface tumors can be diagnosed by specialists using a type of imaging called optical coherence tomography (OCT).
While the expertise to interpret these images is limited to a handful of specialists around the world, OCT imaging devices are common in ophthalmology practices. We hypothesize that we can share this expertise with anyone with access to an OCT device by training an artificial intelligence (AI) system to recognize tumors of the surface of the eye. An important part of this system will be the ability to recognize potential failures in diagnosis of difficult images prior to providing a recommendation to the clinician, thereby increasing safety and reliability of the system.
Please Note This Project Is Now Closed.
The Michigan Institute for Clinical & Health Research (MICHR) seeks innovative translational research projects that will ultimately have significant potential to improve patient and community health outcomes. The goal of this funding is to support interdisciplinary research teams in generating sufficient preliminary data to pursue future extramural funding and publication opportunities. We welcome research proposed at any stage of translation, including:
- preclinical research that aims to connect the basic science of disease with human medicine
- clinical research to better understand a disease in humans
- clinical implementation, involving the adoption of interventions demonstrated useful in the research environment into routine clinical care, and
- the study of health outcomes at the population level to determine the effects of diseases and efforts to prevent, diagnose and treat them
MICHR will fund up to five Classic Cubes ($60K) and 13 Mini Cubes ($15K).
No unit or faculty contribution is required.
Project Submission Process
Interested faculty members please provide the following information to be considered for funding:
Click the Comments tab above, and post a project idea in the Mcubed website. Please do not exceed two paragraphs in length. Provide basic details about the proposed research.
Comment should also include:
- Three cube collaborators - faculty names and units. The team must include 3 faculty from at least 2 units, and 1 faculty member on each team must be from Medicine.
- Grant amount requested ($15K or $60K)
- Studies proposing cell or animal models should provide reasoning of how the research will lead to immediate next step studies in humans.
Comments will be accepted until May 15, 2019.
Note: Project duration is one year from the transfer of funds.
For additional questions about this funding opportunity, please contact Beth LaPensee at email@example.com.
For eligibility requirements, use of funds, and details on the application process, please see: