A data-driven approach to improve wellness and reduce recurrence in cancer survivors.

Document Type

Article

Publication Date

1-1-2024

Publication Title

Front Oncol

Keywords

cancer recurrence prevention; cancer survivor; dense dynamic personal data; healthspan; late effects; long-term effects; quality of life; scientific wellness; washington; isb; artificial intelligence

Abstract

For many cancer survivors, toxic side effects of treatment, lingering effects of the aftermath of disease and cancer recurrence adversely affect quality of life (QoL) and reduce healthspan. Data-driven approaches for quantifying and improving wellness in healthy individuals hold great promise for improving the lives of cancer survivors. The data-driven strategy will also guide personalized nutrition and exercise recommendations that may help prevent cancer recurrence and secondary malignancies in survivors.

Clinical Institute

Cancer

Specialty

Oncology

Specialty

Institute for Systems Biology

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