Pre-Application Information for RFA-AG-23-033: "Transformative Artificial Intelligence-based Strategies to Identify Determinants of Exceptional Healthspan and Lifespan"
Ongoing NIA-supported studies of exceptional longevity (EL) are in the process of generating a wealth of multi-omic data from exceptionally long-lived individuals and several non-human species with varied lifespans. These projects converge on the major goal of identifying protective genetic/omic based druggable targets to enhance healthy aging by analyzing datasets spanning the phenome, genome, epigenome, transcriptome, proteome, metabolome, and microbiome. The mass and complexity of such omic data generated by these and related NIH projects pose critical analytical challenges for identifying potential therapeutic targets.
Two crucial challenges are:
- Integrative analyses of data from multiple types of omics, and
- Integration of human omics data with data from other species with a wide range of life spans.
This concept will bring data scientists with artificial intelligence (AI) expertise into the aging field and stimulate the development of novel methods to integrate, extract, and interpret multi-omic and clinical data from human EL cohorts and multiple non-human species to discover new targets for extending health span and delaying the onset of chronic age-related disorders including dementias. The initiative is timely as a rich resource of multi-omic data will be available in a year or so and this wealth of information can be mined in depth by AI methodologies. The efforts of this initiative in data harmonization could also be leveraged with other harmonization efforts in other ongoing large-scale projects such as AMP AD and ADSP. Overall, this project is expected to enable new directions for translational longevity research.
NIA will host a pre-application webinar on July 26, 2022 from 4:00 - 5:00 p.m., ET. You must register for the webinar in advance.
The webinar will provide prospective applicants the opportunity to understand and ask questions on the scientific scope of this FOA and technical details for applying. The webinar will be open to all prospective applicants. Participation in the webinar is not a prerequisite to applying to this FOA, but prospective applicants will need to register in order to participate. Prospective applicants are also encouraged to submit their questions regarding the FOA in advance of the webinar by sending an email to email@example.com.
Prospective applicants are urged to consult with NIA staff early in the pre-submission process to ensure that applications are responsive to the programmatic goals of this FOA.
Nalini Raghavachari, Ph.D.
Division of Geriatrics and Clinical Gerontology, NIA
Email Nalini Raghavachari
Leonid Tsap, Ph.D.
Division of Aging Biology, NIA
Email Leonid Tsap
Marilyn Miller, Ph.D.
Division of Neuroscience, NIA
Email Marilyn Miller