Sung Hee Hong, Jiyeon Lee, Grace H Chung
The changes in biethnic acceptance across daily settings and biethnic adolescents' psychological well-being during middle school transition
Journal of adolescence
prognosis lung carcinoma changed since discovery molecular targets specific drugs somatic epidermal growth factor receptor egfr mutations reported lung carcinoma mutant proteins act substrates targeted therapies however resourceconstrained country like india panelbased nextgeneration sequencing cannot made available population large additional challenges adequacy tissue case lung core biopsies locating suitable tumour tissues result innate intratumoral heterogeneity indicate necessity aibased endtoend pipeline capable automatically detecting learning effective lung nodule features ct images predicting probability egfrmutant help oncologists patients resourcelimited settings achieve nearoptimal care appropriate therapy egfr gene sequencing ct imaging data 2277 patients lung carcinoma included three cohorts india white population cohort collected tcia another cohort lidcidri used train aipsnodule aipsn model automatic detection characterisation lung nodules explored value combining results aipsn clinical factors aipsmutation aipsm model predicting egfr genotype evaluated area curve auc aipsn achieved average ap50 7019 detecting location nodules within lung region interest validation predicted score five lung nodule properties aipsm machine learning ml deep learning dl models achieved aucs ranging 0587 0910 aips suggests ct imaging combined fully automated lungnodule analysis ai system predict egfr genotype identify patients egfr mutation costeffective noninvasive manner work supported grant provided conquer cancer foundation asco 2021iig5555960128 pfizer products india pvt ltd