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Abstract 7667: Integrating multi-omics and AI-driven approaches into STEMM education to advance cancer research training.

Year: 2026

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2026-7667

Author: Shixia Huang

Institution: Baylor College of Medicine

Language: English

Topic: Genetics, Bioinformatics, and Biomedical Research

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Quality education, Good health and well-being

Open Access status: closed

OpenAlex ID: W7148780221

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