Results 271 to 280 of about 521,807 (336)
Overview and challenges of machine translation for contextually appropriate translations. [PDF]
Naveen P, Trojovský P.
europepmc +1 more source
Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng+11 more
wiley +1 more source
Primer on large language models: an educational overview for intensivists. [PDF]
Idan D, Einav S.
europepmc +1 more source
DECENT is a deep learning method that enhances noninvasive preimplantation genetic testing by accurately reconstructing embryonic copy number variations (CNVs) from cell‐free DNA in spent embryo culture media. By mitigating maternal contamination, DECENT improves diagnostic accuracy, even with high contamination levels, offering a reliable, noninvasive
Zhenyi Zhang+3 more
wiley +1 more source
Predicting the <i>S. cerevisiae</i> Gene Expression Score by a Machine Learning Classifier. [PDF]
Pawłowski PH, Zielenkiewicz P.
europepmc +1 more source
LincNEAT1 Encoded‐NEAT1‐31 micropeptide directly binds with Aurora‐A and enhanced AKT pathways to pormotes phagocytosis against multi cancer cells. Abstract Macrophages play vital roles in innate and adaptive immunity, and their essential functions are mediated by phagocytosis and antigen presentation.
Jie Li+8 more
wiley +1 more source
Development, Validation, and Deployment of a Time-Dependent Machine Learning Model for Predicting One-Year Mortality Risk in Critically Ill Patients with Heart Failure. [PDF]
Wang J+5 more
europepmc +1 more source
MYC is a transcription factor (TF) that binds DNA near transcriptional start sites (TSSs) and within enhancer elements. Here, unappreciated sites of MYC binding in the vicinity of transcriptional end sites (TESs) of many genes in multiple cell types in association with numerous other TFs are described previously.
Huabo Wang+5 more
wiley +1 more source
Linguistically informed ChatGPT prompts to enhance Japanese-Chinese machine translation: A case study on attributive clauses. [PDF]
Gu W.
europepmc +1 more source
Piezoelectric Biomaterials for Bone Regeneration: Roadmap from Dipole to Osteogenesis
Piezoelectric biomaterials convert mechanical forces into electrical signals, offering novel strategies to restore and modulate bone microenvironments for tissue engineering. This review examines molecular dipole origins, spatial arrangements, and pseudo‐piezoelectric mechanisms and highlights dipole‐engineering techniques for osteogenesis regulation ...
Xiyao Ni+7 more
wiley +1 more source