Results 91 to 100 of about 168,099 (309)

ESR1 methylation and ESR1 mutations in circulating tumor cells (CTCs) and paired plasma‐cfDNA of advanced breast cancer patients: A feasibility proof‐of‐concept study

Molecular Oncology, EarlyView.
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou, Athina Markou, Eleonora Nicolo, Mara S Serafini, Qiang Zhang, Youbin Zhang, Lorenzo Gerratana, Andrew A. Davis, Huiping Liu, William J Gradishar, Carolina Reduzzi, Massimo Cristofanilli, Evi Lianidou   +12 more
wiley   +1 more source

miraQA: Initial experiments in Question Answering

, 2004
We present the miraQA system that constitutes MIRACLE first experience in Question Answering for monolingual Spanish and has been developed for QA@CLEF 2004.
Martínez Fernández, Paloma, Martínez Fernández, José Luis, Villena Román, Julio, García Serrano, Ana, Pablo Sánchez, César de, Goñi Menoyo, José Miguel, González Cristóbal, José Carlos   +6 more
core  

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Tweet question classification for enhancing Tweet Question Answering System

Natural Language Processing Journal
In the evolving landscape of social media, effective Question Answering (QA) systems are crucial for enhancing user engagement and satisfaction. Question classification (QC) is vital for improving the efficiency and accuracy of QA systems.
Chindukuri Mallikarjuna, Sangeetha Sivanesan   +1 more
doaj   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Semantic Structure based Query Graph Prediction for Question Answering over Knowledge Graph

, 2022
Building query graphs from questions is an important step in complex question answering over knowledge graph (Complex KGQA). In general, a question can be correctly answered if its query graph is built correctly and the right answer is then retrieved by ...
Li, Mingchen
core   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

Molecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir, Adrián López García de Lomana, Thejus B. Venkatesh, Kritika Kirty, Snaevar Sigurdsson, Linda Vidarsdottir, Ramile Dilshat, Erla Sveinbjornsdottir, Snaedis Ragnarsdottir, Daniel H Magnusson, Maria R. Bustos, Eirikur Steingrimsson, Thorkell Gudjonsson, Stefan Sigurdsson   +13 more
wiley   +1 more source

Enhanced question understanding for multi-type legal question answering

Multi-type Legal Question Answering(MLQA) aims to automatically respond to legal questions presented in natural language. Current MLQA models generally include a text reading component and an answer prediction component.
Li, Lin, Yin, Yu, Xie, Shugui, Tao, Xiaohui, Zhang, Jianwei   +4 more
core   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Survey of Text-based Visual Question Answering [PDF]

Jisuanji gongcheng
Traditional Visual Question Answering(VQA)only focuses on the visual object information in the image, ignoring the text information in the image. In addition to visual information, Text-based Visual Question Answering (TextVQA)also focuses on the text ...
Guide ZHU, Hai HUANG
doaj   +1 more source