This federal Project Grant award from the National Cancer Institute's Cancer Detection and Diagnosis Research program (CFDA 93.394) provides $657,934 to The Johns Hopkins University to develop a more precise and broadly applicable algorithm for predicting personalized cancer neoantigens. The 5-year project aims to innovate in neoantigen prediction by integrating multi-omic patient data and leveraging a dataset of immunologically validated neoantigens. The research design includes creating a multi-omic neoantigen algorithm training and assessment resource, as well as developing a novel deep learning-based neoantigen prediction algorithm. This approach seeks to improve the precision and clinical utility of neoantigen-based cancer immunotherapies and provide open community resources to promote wider application and innovation in the field. The project commenced on Apr 1, 2025 and is expected to be completed by Mar 31, 2030.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $657.9k | 3/24/25 |