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152. Alfapump® system vs. large volume paracentesis for refractory ascites: A multicenter randomized controlled study

154. OP-4 DEVELOPMENT AND EXTERNAL VALIDATION OF A MODEL TO PREDICT MULTI-DRUG RESISTANT BACTERIAL INFECTIONS IN PATIENTS WITH CIRRHOSIS

159. Pre-therapy liver transcriptome landscape in Indian and French patients with severe alcoholic hepatitis and steroid responsiveness

160. Development and external validation of a model to predict multi-drug resistant bacterial infections in patients with cirrhosis

162. Natural history and management of recurrent hepatocellular carcinoma after liver transplantation: a multicenter nationwide study

163. Accuracy of spleen stiffness measurement for the diagnosis of clinically significant portal hypertension in patients with advanced chronic liver disease: an individual patient meta-analysis

164. Porto sinusoidal vascular liver disorder: natural history and long-term outcome

165. Alpha-1 antitrypsin deficiency is underdiagnosed in cirrhotic liver transplant patients : a retrospective multicenter study

166. Recent splanchnic vein thrombosis occurring during Sars-Cov-2 infection-The VALDIG study

167. Current prognosis of gastric variceal bleeding in France: preliminary results from a multicenter prospective cohort of 87 cirrhotic patients

168. Performance of spleen stiffness measurement by vibration-controlled transient elastography to rule out high-risk varices in patients with porto-sinusoidal vascular disorder

169. Differential effect of cannabis use on opioid agonist treatment outcomes: Exploratory analyses from the OPTIMA study

170. Supplementary Figure 10 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

171. Supplementary Table 7 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

172. Supplementary Figure 7 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

173. Supplementary Figure 5 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

174. Supplementary Table 4 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

175. Supplementary Figure 8 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

176. Supplementary Figure 4. from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

177. Supplementary Table 5 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

178. Supplementary Table 1 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

179. Supplementary Table 3 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

180. Supplementary Figure 9 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

181. Supplementary Table 6 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

182. Data from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

183. Supplementary Table 2 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

184. Supplementary Figure 6 from Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

186. Combination therapy with MDM2 and MEK inhibitors is effective in patient-derived models of lung adenocarcinoma with concurrent oncogenic drivers and MDM2 amplification

187. Impact of aneuploidy and chromosome 9p loss on tumor immune microenvironment and immune checkpoint inhibitor efficacy in non-small cell lung cancer.

188. Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer

189. Supplemental Figure 1 from Brief Report: Combination of Osimertinib and Dacomitinib to Mitigate Primary and Acquired Resistance in EGFR-Mutant Lung Adenocarcinomas

190. Supplemental Figure 4 from Brief Report: Combination of Osimertinib and Dacomitinib to Mitigate Primary and Acquired Resistance in EGFR-Mutant Lung Adenocarcinomas

191. Data from Brief Report: Combination of Osimertinib and Dacomitinib to Mitigate Primary and Acquired Resistance in EGFR-Mutant Lung Adenocarcinomas

192. Supplementary Table 1 from Brief Report: Combination of Osimertinib and Dacomitinib to Mitigate Primary and Acquired Resistance in EGFR-Mutant Lung Adenocarcinomas

193. Supplemental Figure 3 from Brief Report: Combination of Osimertinib and Dacomitinib to Mitigate Primary and Acquired Resistance in EGFR-Mutant Lung Adenocarcinomas

194. Supplemental Figure 2 from Brief Report: Combination of Osimertinib and Dacomitinib to Mitigate Primary and Acquired Resistance in EGFR-Mutant Lung Adenocarcinomas

195. Abstract 6127: MDM2 inhibition in combination with MEK inhibition in pre-clinical models of lung adenocarcinomas with MDM2 amplification

197. Supplementary Figure 1 from The Gut Microbiome Associates with Immune Checkpoint Inhibition Outcomes in Patients with Advanced Non–Small Cell Lung Cancer

198. Supplementary Figure 8 from The Gut Microbiome Associates with Immune Checkpoint Inhibition Outcomes in Patients with Advanced Non–Small Cell Lung Cancer

199. Supplementary Figure 6 from The Gut Microbiome Associates with Immune Checkpoint Inhibition Outcomes in Patients with Advanced Non–Small Cell Lung Cancer

200. Data from A Natural Polyphenol Exerts Antitumor Activity and Circumvents Anti–PD-1 Resistance through Effects on the Gut Microbiota

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