AI Article Synopsis
- Cancer survivors often face negative effects on their quality of life due to treatment side effects, lingering health issues, and the risk of recurrence.
- Utilizing data-driven methods to assess and enhance wellness can significantly benefit the well-being of these survivors.
- Personalized nutrition and exercise plans, informed by data, could potentially help reduce the chances of cancer recurrence and the development of new cancers in survivors.
Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11044254 | PMC |
| http://dx.doi.org/10.3389/fonc.2024.1397008 | DOI Listing |
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