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Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges

Year: 2025
Type: article
Abstract: Artificial intelligence could enhance chimeric antigen receptor T-cell therapy outcomes through optimization of all steps, from target identification, vector design, and manufacturing to personalized data-driven clinical decisions. In this report, we highlight steps toward unlocking this potential, including the need for standardized, comprehensive data repositories as a way for addressing barriers to artificial intelligence learning, such as data heterogeneity and patient privacy.
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: green
OpenAlex ID: W4408937901
FWCI: 12.55
Cites: 13
Cited by: 33
Related to: 10