Results 101 to 110 of about 321,541 (313)

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

open access: yesAdvanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo   +6 more
wiley   +1 more source

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

open access: yesBMC Medical Informatics and Decision Making, 2019
Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance.
Wangjin Lee, Jinwook Choi
doaj   +1 more source

GermEval 2014 Named Entity Recognition Shared Task: Companion Paper [PDF]

open access: yes, 2014
This paper describes the GermEval 2014 Named Entity Recognition (NER) Shared Task workshop at KONVENS. It provides background information on the motivation of this task, the data-set, the evaluation method, and an overview of the participating systems ...
Benikova, Darina   +3 more
core  

Stress‐Programmed Immune Niches Fuel TNFR2+ Treg Activation and Drive Neoadjuvant Chemotherapy Resistance in Breast Cancer

open access: yesAdvanced Science, EarlyView.
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao   +18 more
wiley   +1 more source

Evaluation of Named Entity Recognition Algorithms in Short Texts

open access: yesCLEI Electronic Journal, 2017
: One of the major consequences of the growth of social networks has been the generation of huge volumes of content. The text that is generated in social networks constitutes a new type of content, that is short, informal, lacking grammar in some cases,
Edgar Casasola Murillo, Raquel Fonseca
doaj   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

open access: yesAdvanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang   +8 more
wiley   +1 more source

Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention

open access: yesComplex & Intelligent Systems
Named Entity Recognition (NER) aims to identify entities with specific meanings and their boundaries in natural language texts. Due to the differences between Chinese and English language families, Chinese NER faces challenges such as ambiguous word ...
Jigui Zhao   +6 more
doaj   +1 more source

Single‐Target Pairing System (StarPair) for Large‐Scale Interrogation of Cell–Cell Interactions

open access: yesAdvanced Science, EarlyView.
This work presents a single‐target pairing system, StarPair, enabling cell–cell interaction studies by target combination in droplets. StarPair offers superior pairing efficiencies over 95% and operation frequencies of 105 pairs per 9.5 h for two‐target pairing, allowing large‐scale interrogation of immune cell‐cancer cell interactions and precise ...
Tianjiao Mao   +6 more
wiley   +1 more source

Beheshti-NER: Persian Named Entity Recognition Using BERT [PDF]

open access: green, 2020
Ehsan Taher   +2 more
openalex   +1 more source

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