000008359 001__ 8359
000008359 005__ 20240305153454.0
000008359 0247_ $$2DOI$$a10.6083/xg94hq08h
000008359 037__ $$aIR
000008359 041__ $$aeng
000008359 245__ $$aA real-time miRNA-based machine learning approach for precision cancer therapeutics
000008359 260__ $$bOregon Health and Science University
000008359 269__ $$a2020
000008359 336__ $$aAbstract
000008359 520__ $$aRecent research shows that microRNAs (miRNAs) may be potential biomarkers of cancer. MiRNAs are noncoding RNA molecules that regulate gene expression in the post-transcriptional phase. When miRNA count is depleted, gene expression can become dysregulated, consequently leading to progression or drug resistance in cancer. Therefore, many researchers have begun to investigate the role of miRNA as a potential biomarker of cancer, and its role in targeted drug therapy. Artificial Intelligence has emerged as a recent breakthrough to identify cancer types with high accuracy. Even though cancer is a complex and extremely heterogeneous condition, the current practice of treating cancer -- which entails surgery, radiation therapy, chemotherapy, and immunotherapy -- is a one-size-fits-all approach that results in the prescription of the same drug for every patient with the same type and stage of cancer. This approach is expensive, time-consuming, causes the patients to suffer, and worse, prescribed cancer drugs are ineffective for 75% of the time. Machine learning can be used to deliver precision cancer therapeutics based on genomic profiles of patient's tumors.
000008359 540__ $$fCC BY
000008359 542__ $$fIn copyright - single owner
000008359 650__ $$aMachine Learning$$011449
000008359 650__ $$aArtificial Intelligence$$015109
000008359 650__ $$aBiomarkers$$028395
000008359 650__ $$aGene Expression$$028717
000008359 650__ $$aMicroRNAs$$034671
000008359 650__ $$aPrecision Medicine$$038927
000008359 6531_ $$acancer
000008359 6531_ $$aneoplasms
000008359 6531_ $$amirna
000008359 7001_ $$aMandera, Darsh$$uJesuit High School$$041346
000008359 711__ $$aResearch Week$$uOregon Health and Science University$$d2020
000008359 8564_ $$9d8ccb562-c297-4adb-afcf-9f4f5b48d91e$$s43658$$uhttps://digitalcollections.ohsu.edu/record/8359/files/ResearchWeek.2020.Mandera.Darsh.pdf
000008359 905__ $$a/rest/prod/xg/94/hq/08/xg94hq08h
000008359 980__ $$aResearch Week