Results 51 to 60 of about 1,918,144 (294)

Plasma extrachromosomal circular DNA as a biomarker in EGFR‐targeted therapy of non‐small cell lung cancer

Molecular Oncology, EarlyView.
Detection of extrachromosomal circular DNA (eccDNA) in plasma samples from EGFR‐mutated non‐small cell lung cancer patients. Plasma was collected before and during treatment with the EGFR‐tyrosine kinase inhibitor osimertinib. Plasma eccDNA was detected in all cancer samples, and the presence of the EGFR gene on eccDNA serves as a potential biomarker ...
Simone Stensgaard, Sarmad Mehmood, Eva Boysen Fynboe Ebert, Peter Meldgaard, Anindya Dutta, Boe S. Sorensen   +5 more
wiley   +1 more source

Cost-Effective Knowledge Extraction Framework for Low-Resource Environments

IEEE Access
Extracting knowledge from texts is crucial for enriching everyday knowledge. Constructing a knowledge extraction environment requires comprehensive processes, such as data generation, data processing, and model and framework design.
Sangha Nam, Eun-Kyung Kim
doaj   +1 more source

LSTM Accelerator for Convolutional Object Identification

Algorithms, 2018
Deep Learning has dramatically advanced the state of the art in vision, speech and many other areas. Recently, numerous deep learning algorithms have been proposed to solve traditional artificial intelligence problems.
Alkiviadis Savvopoulos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas   +3 more
doaj   +1 more source

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

A Methodology to Extract Knowledge from Datasets Using ML

Mathematics
This study aims to verify whether there is any relationship between the different classification outputs produced by distinct ML algorithms and the relevance of the data they classify, to address the problem of knowledge extraction (KE) from datasets. If
Ricardo Sánchez-de-Madariaga, Mario Pascual Carrasco, Adolfo Muñoz Carrero   +2 more
doaj   +1 more source

A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content

Frontiers in Robotics and AI, 2018
Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated.
Stefanos Vrochidis, Anastasia Moumtzidou, Ilias Gialampoukidis, Dimitris Liparas, Dimitris Liparas, Gerard Casamayor, Leo Wanner, Leo Wanner, Nicolaus Heise, Tilman Wagner, Andriy Bilous, Emmanuel Jamin, Boyan Simeonov, Vladimir Alexiev, Reinhard Busch, Ioannis Arapakis, Ioannis Kompatsiaris   +16 more
doaj   +1 more source

Artequakt: Generating tailored biographies from automatically annotated fragments from the web [PDF]

, 2002
The Artequakt project seeks to automatically generate narrativebiographies of artists from knowledge that has been extracted from the Web and maintained in a knowledge base.
Alani, Harith, Hall, Wendy, Kim, Sanghee, Lewis, Paul, Millard, David, Shadbolt, Nigel, Weal, Mark   +6 more
core  

How Hidden Can Be Even More Hidden?

, 2011
The paper presents Deep Hiding Techniques (DHTs) that define general techniques that can be applied to every network steganography method to improve its undetectability and make steganogram extraction harder to perform.
Fraczek, Wojciech, Mazurczyk, Wojciech, Szczypiorski, Krzysztof   +2 more
core   +1 more source

Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells

Molecular Oncology, EarlyView.
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son, Lily L. Remsing Rix, Bin Fang, Eric A. Welsh, Nicole V. Bremer, Valentina Foglizzo, Paola Roa, Nickole Sigcha‐Coello, Yi Liao, Eric B. Haura, Alexander Drilon, John M. Koomen, Emiliano Cocco, Uwe Rix   +13 more
wiley   +1 more source

The Construction of Knowledge Graphs in the Assembly Domain Based on Deep Learning

IEEE Access
The operation scenario of human-robot collaboration assembly involves multiple channels to acquire assembly domain knowledge data. In order to equip collaborative robots with certain general knowledge of assembly work and logical reasoning ability, this ...
Jing Qu, Yanmei Li, Huilong Du, Wen Wang, Weiping Fu   +4 more
doaj   +1 more source