The UC Irvine Precision Health through Artificial Intelligence Initiative (PHAI) is soliciting applications for a total of two research seed grants leveraging machine and novel computational approaches to advance patient care.
Vastly improved health and longer lifespans in our population has surfaced the prevalence of underlying chronic disorders arising from cumulative genetic, environmental, and metabolic factors. These complex diseases include neurovascular disorders, dementia, and cancer, which collectively represent a third of total deaths in the United States. The increasing sophistication of medical diagnostics has yielded an exponential growth in the density and complexity of healthcare data. Meanwhile, new genomic and metabolomic technologies are capturing heterogeneous disease pathophysiology in molecular and even mechanistic detail. Together, these resources provide an unprecedented opportunity to understand how a single disease has many different versions when it passes through the prism of a population.
Purpose: PHAI sponsored seed grants solicit innovative proposals that aim to leverage computational approaches including machine learning and deep learning to augment ongoing research. Proposals should represent new ideas and incorporate the use of data intensive information sources including clinical, omics and/or other sources that enable computational approaches. Seed grants are intended to help develop projects to the stage where they are competitive for extramural funding, NIH funding in particular. Priority is given to projects that leverage existing UCI Resources Cores including the Center for Artificial Intelligence and Diagnostic Medicine (CAIDM) and Genomics High-Throughput Facility (GHTF).
Eligibility: All UCI faculty with PI status.
Criteria: The goal of PHAI is to translate multidimensional data streams into individualized measures for disease prevention, diagnosis and treatment. Major review criteria include likely impact of the research, expertise of the research team, utilization of health-related data, innovation, and rigor of scientific approach. Applicants should relate their work as specifically as possible to the likelihood of obtaining future NIH funding. Collaborative interdisciplinary efforts of clinicians, clinical researchers and other scientists that explore new ideas and interdisciplinary approaches are prioritized. Applicants are highly encouraged to utilize at least one of the following UCI Resource Cores: CAIDM (https://www.caidm.som.uci.edu/, e.g. image retrieval and consulting service), and the Genomics High Throughput Facility (https://ghtf.biochem.uci.edu/).
For further information, please contact: Yuna Muyshondt, email@example.com
Deadline: Proposals must be received by June 15
Proposal Format -- Please include the following:
Narrative. Proposal should address impact, approach, innovation and team expertise. Describe your proposed project and its relevance to precision health in no more than one page single spaced (font no smaller than Arial 11, margins at least 0.5 inch). References do not count towards the page limit.
Budget: A budget with justification of no more than 1 page. The amount of awards will be up to $30,000.
Biosketch. Provide a biosketch (NIH format) of the applicants.
Send completed proposal and any question to: firstname.lastname@example.org