Artificial intelligence for optimization of immunotherapy: current applications and transformative potential.
Saved in:
| Title: | Artificial intelligence for optimization of immunotherapy: current applications and transformative potential. |
|---|---|
| Authors: | Tarhini A; Machine Learning Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States., Dave P; Machine Learning Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States., Pilon-Thomas S; Immunology Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States., El Naqa I; Machine Learning Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States. |
| Source: | Frontiers in immunology [Front Immunol] 2026 May 29; Vol. 17, pp. 1777580. Date of Electronic Publication: 2026 May 29 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1664-3224 |
|---|---|
| DOI: | 10.3389/fimmu.2026.1777580 |
