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9篇 您的检索式：作者名="SIMON RI"

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		题名	作者	年代	出处	被引量
	1	Screening for suicide risk in a brief medicationmanagement appointment显示文摘	Simon RI	2012	Psychiatry Times2012，29，5：	1
	2	Achieving target refraction after cataract surgery 显示文摘	Simon SS Chee YE Haddadin RI	2014	Ophthalmology2014，121，2：	1
	3	Immunization with the cysteine proteinase Ldccys1 gene from Leishmania (Leishmania) chagasi and the recombinant Ldccys1 protein elicits protective immune responses in a murine model of visceral leishmaniasis显示文摘	Josie Haydée L. Ferreira Luciana Girotto Gentil Suzana Souza Dias Carlos Eduardo C. Fedeli Simone Katz Clara Lúcia Barbiéri	2007	Vaccine2007，，5：	1
	4	Sexual exploitation of patients: How it begins before it happens 显示文摘	Simon RI	1989	Psychiatr Ann1989，19，2：	1
	5	Suppression of endogenous bcl-2 expression by antisense treatment exacerbates ischemic neuronal death显示文摘	Chen J Simon RI Nagayama T	2000	J Cereb Blood Flow Metab2000，20，：	1
	6	Complex duodenal injures显示文摘	IVATURY RR NASSOURA E SIMON RI	1996	SCNA1996，76，：	1
	7	Complex Duodenal Injuries显示文摘	Nassoura ZE Simon RI	1996	Surg Clin North Am1996，76，4：	1
	8	A- merican thoracic society/centers for disease control and prevention/infectious disease society of America : treatment of tubercu- losis 显示文摘	Blumberg HM Burman WJ Chaisson RE Daley CL Etkind SC Friedman LN Fujiwara P Grzemska M Hopewell PC Iseman MD Jasmer RM Koppaka V Menzies RI O'Brien RJ Reves RR Reichman LB Simone PM Starke JR Vernon AA	2003	Am J Respir Cirt Care Med2003，167，4：	1
	9	Real-world performance analysis of a novel computational method in the precision oncology of pediatric tumors显示文摘Background The utility of routine extensive molecular profiling of pediatric tumors is a matter of debate due to the high number of genetic alterations of unknown significance or low evidence and the lack of standardized and personalized decision support methods.Digital drug assignment(DDA)is a novel computational method to prioritize treatment options by aggregating numerous evidence-based associations between multiple drivers,targets,and targeted agents.DDA has been validated to improve personalized treatment decisions based on the outcome data of adult patients treated in the SHIVA01 clinical trial.The aim of this study was to evaluate the utility of DDA in pediatric oncology.Methods Between 2017 and 2020,103 high-risk pediatric cancer patients(<21 years)were involved in our precision oncology program,and samples from 100 patients were eligible for further analysis.Tissue or blood samples were analyzed by whole-exome(WES)or targeted panel sequencing and other molecular diagnostic modalities and processed by a software system using the DDA algorithm for therapeutic decision support.Finally,a molecular tumor board(MTB)evaluated the results to provide therapy recommendations.Results Of the 100 cases with comprehensive molecular diagnostic data,88 yielded WES and 12 panel sequencing results.DDA identified matching off-label targeted treatment options(actionability)in 72/100 cases(72%),while 57/100(57%)showed potential drug resistance.Actionability reached 88%(29/33)by 2020 due to the continuous updates of the evidence database.MTB approved the clinical use of a DDA-top-listed treatment in 56 of 72 actionable cases(78%).The approved therapies had significantly higher aggregated evidence levels(AELs)than dismissed therapies.Filtering of WES results for targeted panels missed important mutations affecting therapy selection.Conclusions DDA is a promising approach to overcome challenges associated with the interpretation of extensive molecular profiling in the routine care of high-risk pediatric cancers.Knowledgebase updates enable automatic interpretation of a continuously expanding gene set,a“virtual”panel,filtered out from genome-wide analysis to always maximize the performance of precision treatment planning.	Barbara Vodicska Júlia Déri Dóra Tihanyi Edit Várkondi EnikőKispéter Róbert Dóczi Dóra Lakatos Anna Dirner Mátyás Vidermann Péter Filotás Réka Szalkai-Dénes István Szegedi Katalin Bartyik Krisztina Míta Gábor Réka Simon Péter Hauser György Péter Csongor Kiss Miklós Garami István Peták	2023	World Journal of Pediatrics2023，19，10：	0

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