Results 201 to 210 of about 1,312,358 (341)
Natural language processing and cognitive science : proceedings 2018 [PDF]
Lubaszewski, Wiesław +2 more
core
TRF enriches Ruminococcus, a bacterial genus producing SCFAs, and activates the epithelial HIF‐1α signaling pathway. This mechanism protects the colonic mucosa from inflammatory insults in colitis models. Mechanistically, gut lactate production during starvation and refeeding mediates H4K12la, which increases SLC9A3 expression and creates an acidic gut
Linwen Huang +17 more
wiley +1 more source
Pain—Linguistics and Natural Language Processing
Luke A. Carlson, BA +1 more
doaj +1 more source
A natural language processing-driven map of the aging research landscape. [PDF]
Perez-Maletzki J, Sanz-Ros J.
europepmc +1 more source
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Identifying postpartum depression subtypes using natural language processing and clinical notes. [PDF]
Adekkanattu P +10 more
europepmc +1 more source
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang +6 more
wiley +1 more source
Three Dimensions of Reproducibility in Natural Language Processing
Kevin Bretonnel Cohen +9 more
openalex +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source

