Results 71 to 80 of about 3,577,614 (332)

Task-specific Word Identification from Short Texts Using a Convolutional Neural Network

, 2017
Task-specific word identification aims to choose the task-related words that best describe a short text. Existing approaches require well-defined seed words or lexical dictionaries (e.g., WordNet), which are often unavailable for many applications such ...
Wu, Xintao, Xiang, Yang, Yuan, Shuhan
core   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

In vitro properties of patient serum predict clinical outcome after high dose rate brachytherapy of hepatocellular carcinoma

Molecular Oncology, EarlyView.
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser, Jan Niklas Schäfer, Shraga Nahum Goldberg, Philipp Maximilian Kazmierczak, Moritz Nikolaus Gröper, Philipp Franz Linden, Elif Öcal, Tanja Burkard, Stefanie Corradini, Najib Ben Khaled, Moritz Wildgruber, Max Seidensticker, Jens Ricke, Matthias Stechele, Marianna Alunni‐Fabbroni   +14 more
wiley   +1 more source

BLEU is Not Suitable for the Evaluation of Text Simplification

, 2018
BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects.
Abend, Omri, Rappoport, Ari, Sulem, Elior   +2 more
core   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Short Text Understanding Combining Text Conceptualization and Transformer Embedding

IEEE Access, 2019
Short text understanding is a key task and popular issue in current natural language processing. Because the content of short texts is characterized by sparsity and semantic limitation, the traditional search methods that analyze only the semantics of ...
Jun Li, Guimin Huang, Jianheng Chen, Yabing Wang   +3 more
doaj   +1 more source

Feasibility of a ctDNA multigenic panel for non‐small‐cell lung cancer early detection and disease surveillance

Molecular Oncology, EarlyView.
Plasma‐based detection of actionable mutations is a promising approach in lung cancer management. Analysis of ctDNA with a multigene NGS panel identified TP53, KRAS, and EGFR as the most frequently altered, with TP53 and KRAS in treatment‐naïve patients and TP53 and EGFR in previously treated patients.
Giovanna Maria Stanfoca Casagrande, Marcela de Oliveira Silva, Mariana Bisarro dos Reis, Rodrigo de Oliveira Cavagna, Luciane Sussuchi, Icaro Alves Pinto, Natalia Zampieri Pontes, Rodrigo Sampaio Chiarantano, Flavio Augusto Ferreira da Silva, Pedro de Marchi, Letícia Ferro Leal, Rui M. Reis   +11 more
wiley   +1 more source

Screening for lung cancer: A systematic review of overdiagnosis and its implications

Molecular Oncology, EarlyView.
Low‐dose computed tomography (CT) screening for lung cancer may increase overdiagnosis compared to no screening, though the risk is likely low versus chest X‐ray. Our review of 8 trials (84 660 participants) shows added costs. Further research with strict adherence to modern nodule management strategies may help determine the extent to which ...
Fiorella Karina Fernández‐Sáenz, Laura de la Torre‐Perez, David R Baldwin, Carlijn van der Aalst, Mangesh Thorat, David Ritchie, Andre L Carvalho, Carolina Espina, Ivan Solà, Carlos Canelo‐Aybar, Moira Magdalena Pissinis, Pablo Alonso‐Coello, Ana Carolina Pereira Nunes Pinto   +12 more
wiley   +1 more source

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

Molecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed, Kerstin Huebner, Katharina Erlenbach‐Wuensch, Chuanpit Hampel, Daniela Thalheim, Adriana Vial‐Roehe, Bodee Nutho, Susanne Merkel, Arndt Hartmann, Pithi Chanvorachote, Regine Schneider‐Stock   +10 more
wiley   +1 more source

Method of short text strategy mining based on sub-semantic space

Dianxin kexue, 2020
To solve the problem of identifying short text data accurately,a method of short text strategy mining based on sub-semantic space was proposed.Firstly,semantic space technology was used to solve the problem of “vocabularygap” and “data sparseness” in ...
Yang SUN, Li SU, Xing ZHANG, Fengsheng WANG, Haitao DU   +4 more
doaj