Publication
Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma
Publications associées (32)
The role of LRRK2 in lung adenocarcinoma
Lung cancer is the leading cause of cancer-related deaths worldwide and the most commonlung cancer subtype is lung adenocarcinoma (LUAD). Frequently mutated genes involveactivating mutations in KRAS and loss of function mutations in TP53. LUADs primarily a ...
EPFL2024Comparison of reduced model predictions for divertor detachment onset and reattachment timescales in ASDEX Upgrade and JET experiments
Building on prior analysis of ASDEX Upgrade (AUG) experiments (Henderson et al 2023 Nucl. Fusion 63 086024), this study compares simple analytical formula predictions for divertor detachment onset and reattachment timescales in JET experiments. Detachment ...
Iop Publishing Ltd2024Global fluid simulations of plasma turbulence in stellarators
António João Caeiro Heitor Coelho
In order to cope with the decarbonization challenge faced by many countries, fusion is one of the few alternatives to fossil fuels for the production of electricity. Two devices invented in the middle of the previous century have emerged as the most promis ...
EPFL2024Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma
Jiancheng Yang, Li Zhang, Xinchao Wang, Hua Sun
Background: The nature of the solid component of subsolid nodules (SSNs) can indicate tumor pathological invasiveness. However, preoperative solid component assessment still lacks a reference standard.Methods: In this retrospective study, an AI algorithm w ...
Clare2023Prognostic impact of deep learning-based quantification in clinical stage 0-I lung adenocarcinoma
Jiancheng Yang, Li Zhang, Lin Chen, Qiong Li, Ying Zhu
Objectives To evaluate the performance of automatic deep learning (DL) algorithm for size, mass, and volume measurements in predicting prognosis of lung adenocarcinoma (LUAD) and compared with manual measurements. Methods A total of 542 patients with clini ...
SPRINGER2023Validation of D-T fusion power prediction capability against 2021 JET D-T experiments
Michele Marin, Javier García Hernández, Mikhail Maslov
JET experiments using the fuel mixture envisaged for fusion power plants, deuterium and tritium (D-T), provide a unique opportunity to validate existing D-T fusion power prediction capabilities in support of future device design and operation preparation. ...
Bristol2023Metabolic plasticity and glucose transporter redundancy dictate lung adenocarcinoma growth
Lung cancers represent the leading cause of cancer-related deaths worldwide. These pulmonary cancers count several histological subgroups, whose non-small cell lung cancers, subject of our study. We were precisely interested in the most common subtype of n ...
EPFL2020Combined deletion of Glut1 and Glut3 impairs lung adenocarcinoma growth
Rolf Gruetter, Anders Meibom, Graham Knott, Bernard Lanz, Stéphane Laurent Escrig, Nadine Fournier, Mario Gaetano Lepore, Etienne Meylan, Louise Helene Soegaard Jensen, Inti Zlobec, Caroline Anne-Lyse Contat, Justine Pascual, Pierre-Benoit Bernard Ancey, Anouk Rossier, Silvia Sabatino
Glucose utilization increases in tumors, a metabolic process that is observed clinically by F-18-fluorodeoxyglucose positron emission tomography (F-18-FDG-PET). However, is increased glucose uptake important for tumor cells, and which transporters are impl ...
2020Investigating Scrape-Off Layer transport in alternative divertor geometries on the TCV tokamak
Thermonuclear fusion is a potentially clean and limitless energy source that can substantially change the current global electricity generation mix, which is highly dependent on limited fossil fuels.
This thesis contributes to the development of fusion en ...
EPFL2020Combining fluorescence-based image segmentation and automated microfluidics for ultrafast cell-by-cell assessment of biomarkers for HER2-type breast carcinoma
Martinus Gijs, Daniel Migliozzi, Huu Tuan Nguyen
Immunohistochemistry (IHC) is one of the main clinical techniques for biomarker assessment on tissue biopsies. It consists in chromogenic labeling with specific antibodies, followed by optical imaging, and it is used for diagnosis and therapeutic targeting ...
SPIE-Intl Soc Optical Eng2019