AI Article Synopsis
- Bioinformatics models play a key role in personalizing cancer patient assessments.
- Important research gaps exist, such as comparing different modeling algorithms and assessing the benefits of created models.
- Addressing these gaps is crucial for improving cancer research and patient outcomes in the future.
Article Abstract
Bioinformatics models greatly contribute to individualized assessments of cancer patients. However, considerable research neglected some critical technological points, including comparisons of multiple modeling algorithms, evaluating gain effects of constructed model, comprehensive bioinformatics analyses and validation of clinical cohort. These issues are worthy of emphasizing, which will better serve future cancer research.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667869 | PMC |
| http://dx.doi.org/10.1186/s12935-024-03601-0 | DOI Listing |
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