Mathematical and Machine Learning Models of Renal Cell Carcinoma: A Review
Dilruba Sofia, Qilu Zhou, Leili Shahriyari · 2023
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Description
Sofia, Zhou, and Shahriyari review computer models of renal cell carcinoma, a kidney cancer, in a 2023 paper. Two modeling families are covered. Machine learning models mine gene and clinical data to predict patient outcomes. Mechanistic models instead simulate how tumor cells, immune cells, and signaling molecules interact, including how the cancer spreads to the lungs.
Together, the models have found signature genes, delicate interaction points inside tumors, and estimates of survival odds. The review argues the two families fit together: data-driven patterns can guide mechanism-based tests and the reverse. Joining them could sharpen treatment choices and reveal new drug targets. The authors frame the survey as a map for researchers who want to blend both styles.
Catalog record
| CREATOR | Dilruba Sofia, Qilu Zhou, Leili Shahriyari |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 29 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |