This collection aims to bring together researchers from diverse backgrounds—including mathematics, computer science, engineering, and biology—to showcase how data-driven modeling can advance our understanding of biomedical processes and improve patient outcomes.

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Fostering Cross-Disciplinary Modeling in Biology and Medicine

摘要

This collection aims to bring together researchers from diverse backgrounds—including mathematics, computer science, engineering, and biology—to showcase how data-driven modeling can advance our understanding of biomedical processes and improve patient outcomes.