Results 81 to 90 of about 254,529 (285)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Evolution and emerging trends of named entity recognition: Bibliometric analysis from 2000 to 2023
HeliyonIdentifying valuable information within the extensive texts documented in natural language presents a significant challenge in various disciplines. Named Entity Recognition (NER), as one of the critical technologies in text data processing and mining ...
Jun Yang +4 more
doaj +1 more source
Information Retrieval System for News Articles in Russian [PDF]
, 2011 We present a description of the natural language processing system developed for information retrieval project scan.interfax.ru. The system should process news articles in Russian and retrieve as much information as possible about persons, organizations
Kristalovsky, K. +2 more
core
Advanced Science, EarlyView.The FAK‐STAT3‐NNMT axis drives anoikis resistance in circulating tumor cells by reprogramming fatty acid oxidation. Targeting this metabolic vulnerability suppresses metastasis, untangling a key mechanism of breast cancer progression and revealing NNMT as a promising therapeutic target.
Qingchao Tong +13 more
wiley +1 more source
Named entities recognition and classification system for Persian texts based on neural network
Iranian Journal of Information Processing & Management, 2018 Named Entity Recognition (NER) is a fundamental task in natural language processing and also known as a subset of information extraction. We seek to locate and classify named entities in text into predefined categories such as the names of persons ...
Mojtaba Zali, Mohsen Firoozbakht
doaj
An automatically built named entity lexicon for Arabic [PDF]
, 2010 We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed +4 more
core +1 more source
Advanced Science, EarlyView.This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source
Development of hybrid approach for named entity recognition in Uzbek language text [PDF]
PeerJ Computer ScienceDuring the article a hybrid named-entity recognition (NER) algorithm for Uzbek is presented. It combines rule-based modules (transliteration, dialect normalization, morphological analysis) with modern neural network models.
Davlatyor Mengliev +7 more
doaj +2 more sources
Semantic Enrichment of a Multilingual Archive with Linked Open Data [PDF]
, 2017 This paper introduces MERCKX, a Multilingual Entity/Resource Combiner & Knowledge eXtractor. A case study involving the semantic enrichment of a multilingual archive is presented with the aim of assessing the relevance of natural language processing ...
De Wilde, Max, Hengchen, Simon
core
Advanced Science, EarlyView.Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo +20 more
wiley +1 more source