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This project leverages Python programming and an open-source large language model (LLM) to calculate semantic similarity scores between pairs of text strings. These scores are systematically recorded in an Excel workbook, enabling the organization of string pairings into ranked mappings. Dr. Macintosh employed this methodology to propose mappings between AACN graduate sub-competencies and course learning outcomes.

This presentation is an introduction to Oncology Data Science at AstraZeneca and the important work being done to impact decision making to advance AstraZeneca’s oncology drug portfolio. Steven Criscione will also share a research vignette on our study of the EGFR inhibitor osimertinib drug tolerant persister cells.