HYBRID DATA-BASED MODELLING IN ONCOLOGY: SUCCESSES, CHALLENGES AND HOPES
作者： Angélique Stéphanou , Pascal Ballet , Gibin Powathil , None
DOI: 10.1051/MMNP/2019026
关键词:
摘要: In this review we make the statement that hybrid models in oncology are required as a mean for enhanced data integration. context of systems oncology, experimental and clinical need to be at heart developments from conception validation ensure relevant use context. The main applications pursued improve diagnosis optimize therapies.We first present Successes achieved thanks modelling approaches advance knowledge, treatments or drug discovery. Then Challenges than addressed allow better integration model parts into models. And Finally, Hopes with focus towards making personalised medicine reality. Mathematics Subject Classification. 35Q92, 68U20, 68T05, 92-08, 92B05.
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