In the past 3 years we had great success with our seed grants program, and at least 3 of the seed grants have already contributed to funded or to-be-funded R01s. Our thriving basic science projects now need to be complemented by more translation-oriented seed grants. This year we will change the focus accordingly. We are in the process of recruiting a new software engineer/programmer, and the seed grants will be given as %effort of that programmer, in order to help translate mature computational algorithms or analysis pipeline into tools that can be more easily used in the clinic. The basic elements, important dates and application materials are described next
- Friday, April 15: Deadline for submission
- May 20: Announcement of awards
- July 1: Award start date
- Suitable projects will have the basic science and validation part already completed in prior work, and will be ready for translation.
- Translation can be achieved in many ways: by augmenting a pipeline with a user-friendly front-end, documenting it appropriately, and creating a ready-to-install program; by using our image processing web portal (https://ipp.cbica.upenn.edu/), which allows us to "export" pipelines running on our server and make them readily available to outside users via submitting images and receiving results; by building a plug-in for an existing clinical workstation or other visualization means (e.g. mevislab); or via some other suitable way.
- CBICA faculty and senior postdocs are eligible to apply: the latter are particularly encouraged to do so, if they have a method that is mature and suitable for translation.
- 2-page description of the project, documenting the existing method with evidence that it is mature and suitable for translation
- A detailed plan on the translational implementation utilizing ~40% effort of the programmer
- Please send all material to Amanda Shacklett
|Histological Determinants of Radiographic Breast Cancer Risk Factors||Brad Keller
|Predicting optic pathway glioma progression via advanced image analysis and machine learning||Jared Pisapia
|Neural and Motor Functional Changes in HIV and Stroke before and after Robot-Assisted Neurorehabilitation||Michelle Johnson