A data-driven approach to improve wellness and reduce recurrence in cancer survivors.
Publication Title
Front Oncol
Document Type
Article
Publication Date
1-1-2024
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.
Area of Special Interest
Cancer
Specialty/Research Institute
Oncology
Specialty/Research Institute
Institute for Systems Biology
DOI
10.3389/fonc.2024.1397008
