Training the Next Generation of AI-Enabled Cancer Scientists
Despite unprecedented opportunities at the convergence of artificial intelligence (AI) and cancer research, few scientists possess fluency in both domains. We propose a six-principle framework for training "AI-oncology bilingual" scientists who can bridge this gap and translate AI-driven discoveries into improved patient outcomes.
Authors
- Olivier Elemento (ORCID: https://orcid.org/0000-0002-8061-9617)
- Paraskevi Giannakakou (ORCID: https://orcid.org/0000-0001-7378-262X)
Institutions
- Cornell University (US)
- Lander Institute (IL)
Publication Details
- Journal
- Cancer Discovery
- Published
- 2026-04-13
- DOI
- https://doi.org/10.1158/2159-8290.cd-25-2087
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00