Development of machine learning software to quantitatively map telomere induced senescence in tissue sections during aging
Description: PROJECT NARRATIVE This project will contribute to fundamental knowledge about the nature and distribution of senescent cells in human tissues during the aging process. Specifically, it will generate cutting- edge technology that will allow the reliable mapping of senescent cells across multiple tissues. This technology will not only assist the generation of a human atlas of senescence but also have great potential in clinical practice as a prognostic tool, as a measure of biological age as well as efficacy of treatments.
Funder: National Cancer Institute
Funding type: cooperative_agreement
Funder scheme: UG3
Start date: 2021-09-21
End date: 2023-08-31
Investigator: JOAO PASSOS
Institution: MAYO CLINIC ROCHESTER
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Funded outputs count: 53
Funder award ID: UG3CA268103
OpenAlex ID: G7468034135