Personalised Drug Identifier for Cancer Treatment with Transformers using Auxiliary Information

arXiv:2402.10551v1 Announce Type: new
Abstract: Cancer remains a global challenge due to its growing clinical and economic burden. Its uniquely personal manifestation, which makes treatment difficult, has fuelled the quest for personalized treatment strategies. Thus, genomic profiling is increasingly becoming part of clinical diagnostic panels. Effective use of such panels requires accurate drug response prediction (DRP) models, which are challenging to build due to limited labelled patient data. Previous methods to address this problem have used various forms of transfer …

abstract arxiv cancer cancer treatment challenge clinical cs.lg diagnostic economic genomic global information panels part personalised personalized profiling q-bio.qm quest strategies transformers treatment type