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Ninth Computational Approaches for Cancer Workshop (CAFCW23)
DescriptionNew computational opportunities and challenges have emerged within cancer research and clinical application areas as the size, source, and complexity of cancer datasets have grown. Simultaneously, advances in computational capabilities, with exceptional growth in AI and deep learning, are reaching unprecedented scales. The workshop focuses on bringing together interested individuals ranging from clinicians, cancer biologists, mathematicians, data and computational scientists, engineers, developers, thought leaders, and others with an interest in advancing computation to better understand, diagnose, treat, and prevent cancer. As a unifying theme in 2023, special emphasis will be given to “Diversity, Equity and Inclusion – from Science to Scientist,” bringing forward the need to involve contributions from all in progressing from data to partnerships, spanning demographics as well as extending to patient involvement. As an interdisciplinary workshop, sharing insights and challenges fosters collaborations and future innovations accelerating progress in computationally and data-driven cancer research and clinical applications.
Organizers