A practical and nuanced framework for entity linking evaluation. [PDF]
Xu F, Nenadic G, Stevens R.
europepmc +1 more source
An Event-Driven Entity-Relationship Modeling Method for Creating a Normalized Logical Data Model [PDF]
Jae-Gun Yoo
openalex +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Consistency-accuracy correlation in hard-prompted LLMs for entity and relation extraction: empirical findings from plant-health data. [PDF]
Yao X, Nédellec C, Xia J, Bossy R.
europepmc +1 more source
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo +20 more
wiley +1 more source
A multi-layer annotated corpus for information extraction in Russian clinical NLP. [PDF]
Sultangaziyeva A +4 more
europepmc +1 more source
The derivation of thematic map layers from entity-relationship data models
Peter G. Firns
openalex +2 more sources
Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang +15 more
wiley +1 more source
Proposal of a procedure to stratify the reidentification risk of medical data: RIMEDA. [PDF]
Behre S +3 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

