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

Abstract Preparing future scientists to address the complexity of cancer requires early exposure to advanced analytical methods and transdisciplinary thinking. We developed scalable STEMM education programs that integrate multi-omics and artificial intelligence into cancer research training across multiple learner levels. Central to this effort is the Biotechnology Research Incubator for Teachers (BRITE), an NIH R25 Science Education Partnership Award program providing secondary-school teachers with hands-on multi-omics training rooted in cancer biology. By incorporating genomics, proteomics, and data-driven interpretation, BRITE equips teachers to translate authentic cancer research practices into classroom learning. Building on this foundation, the NCI-funded P20 Cancer Research Education Program (C-REP) engages undergraduate and graduate/PharmD trainees in multi-omics workflows, tumor signaling pathways, and computational analyses. We also established the IMPACT Medical Scholar Program, which introduces medical students to cancer research methodologies, advanced analytics, and patient-centered communication. To broaden the early pipeline, we created high-school programs that use AI-assisted adapted primary literature and culminate in a student research symposium. Collectively, these programs provide a scalable model for integrating advanced technologies into STEMM education to strengthen participation in cancer research. Citation Format: Shixia Huang, . Integrating multi-omics and AI-driven approaches into STEMM education to advance cancer research training [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7667.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-7667
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Shixia Huang
Cancer Research
Genetics, Bioinformatics, and Biomedical Research
article

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

Shixia Huang
article en

Abstract

Abstract Preparing future scientists to address the complexity of cancer requires early exposure to advanced analytical methods and transdisciplinary thinking. We developed scalable STEMM education programs that integrate multi-omics and artificial intelligence into cancer research training across multiple learner levels. Central to this effort is the Biotechnology Research Incubator for Teachers (BRITE), an NIH R25 Science Education Partnership Award program providing secondary-school teachers with hands-on multi-omics training rooted in cancer biology. By incorporating genomics, proteomics, and data-driven interpretation, BRITE equips teachers to translate authentic cancer research practices into classroom learning. Building on this foundation, the NCI-funded P20 Cancer Research Education Program (C-REP) engages undergraduate and graduate/PharmD trainees in multi-omics workflows, tumor signaling pathways, and computational analyses. We also established the IMPACT Medical Scholar Program, which introduces medical students to cancer research methodologies, advanced analytics, and patient-centered communication. To broaden the early pipeline, we created high-school programs that use AI-assisted adapted primary literature and culminate in a student research symposium. Collectively, these programs provide a scalable model for integrating advanced technologies into STEMM education to strengthen participation in cancer research. Citation Format: Shixia Huang, . Integrating multi-omics and AI-driven approaches into STEMM education to advance cancer research training [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7667.

Cancer ResearchVol. 86(7_Supplement)
Baylor College of Medicine (US)
Partnerships for the goals
Openalex Percentile: Top 7%
Genetics, Bioinformatics, and Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Abstract 7667: Integrating multi-omics and AI-driven approaches into STEMM education to advance cancer research training. — Shixia Huang · Cancer Research (2026) | TGRS Research Map | TGRS