Results 181 to 190 of about 595,374 (265)
Ni-Doped SnO<sub>2</sub> Gas Sensor Array Enabled High-Randomness PUF for Hardware Security Applications. [PDF]
Ji Z +6 more
europepmc +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Nonlinear Imaging Allows to Characterize Granulomas and Fibrosis in Mice Tissue From Experimental Schistosomiasis. [PDF]
da Fonseca GR +6 more
europepmc +1 more source
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Chloroplast- and mitochondrion-specific random C-to-T mutagenesis for forward genetics of organelle genomes. [PDF]
Kosaka N +6 more
europepmc +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Robustness is important: Limitations of LLMs for predictions on tabular data. [PDF]
Liu H, Yang M, Adomavicius G.
europepmc +1 more source
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Multitype SIR epidemics among a population partitioned into households with proportionate global mixing. [PDF]
Ball F, Critcher L.
europepmc +1 more source

