Results 231 to 240 of about 254,529 (285)

PharmVar GeneFocus: CYP1A2—Clinical Impact, Genetic Variation, and Updated Nomenclature

Clinical Pharmacology &Therapeutics, EarlyView.
The Pharmacogene Variation Consortium (PharmVar) provides nomenclature for the highly polymorphic human CYP1A2 gene. CYP1A2 plays a crucial role in the biotransformation of several commonly used drugs, including antipsychotics, antidepressants, anxiolytics, and methylxanthines.
Katalin Monostory, Gonzalo Villapalos Garcia, Dora Koller, Solomon Adams, Chad A. Bousman, Evangelia Eirini Tsermpini, Michelle Whirl‐Carrillo, Amy J. Turner, Volker M. Lauschke, Mohamed Nagy, Erin C. Boone, Teri E. Klein, Pablo Zubiaur, Andrea Gaedigk   +13 more
wiley   +1 more source

A knowledge graph construction method for compliance review of water conservancy project reports. [PDF]

PLoS One
Ding Z, Fan Z, Hao Y, Wang T, Du X, Zhang X.   +5 more
europepmc   +1 more source

Named Entity Recognition for AI-Driven Medical Text Processing in the Silicon Revolution

IEEE Access
Heng Wei, Yuze Zhang
openaire   +1 more source

SynEL: A synthetic benchmark for entity linking. [PDF]

PLoS One
Karpov I, Kirillovich A, Goncharova E, Parinov A, Chernyavskiy A, Ilvovsky D, Semenova N, Sosedka A, Lisitsyna E, Belkin M.   +9 more
europepmc   +1 more source

Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset. [PDF]

Pac Symp Biocomput
Dey SK, Powell JM, Ismail A, Perrone J, Sarker A.   +4 more
europepmc   +1 more source

Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism. [PDF]

PLoS One
Luo Z, Che J, Ji F.
europepmc   +1 more source

Natural Language Processing to Automate Cerebrovascular Event Identification in Stroke Alerts. [PDF]

Stroke Vasc Interv Neurol
Erekat AN, Stein LK, Delman BN, Downes MH, Tripathi A, Nadkarni GN, Karp AM, Kupersmith MJ, Kummer BR.   +8 more
europepmc   +1 more source

Generative Models and Sentence Transformers for the Recognition and Normalization of Continuous and Discontinuous Phenotype Mentions: Model Development and Evaluation.

JMIR Med Inform
Alhassan A, Schlegel V, Aloud M, Batista-Navarro R, Nenadic G.   +4 more
europepmc   +1 more source

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Biomedical named entity recognition using natural language processing

2023
Motivation: Clinical entities are a type of entity in biomedical research that can be used in a named entity recognition (NER) task to extract biomedical information. However, even the most recent state-of-the-art biomedical NER methods are trained on limited clinical entities (genes, proteins, diseases, chemicals) and do not take many other biomedical
Raza, Shaina, Bashir, Syed Raza, Thakkar, Vidhi, Naseem, Usman   +3 more
openaire   +2 more sources