HIGHLIGHTS
- who: Alexander Partin from the National Cancer Centre, Japan McGill University, Canada have published the research: Deep learning methods for drug response prediction in cancer: Predominant and emerging trends, in the Journal: (JOURNAL)
SUMMARY
Cancer treatment response prediction is a problem of great importance for both clinical and pharmacological research communities. Many believe it will pave the way to devising more efficient treatment protocols for individual patients and provide insights into designing novel drugs that efficiently suppress disease. Cancer biomarkers refer to abnormalities in omics data (genomic, transcriptomic, etc.) which can be predictive . . .
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