Results 121 to 130 of about 37,900 (249)
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Neuropathy predicts early renal impairment in diabetes mellitus-the almost forgotten historical evidence. In memoriam Professor Göran Sundkvist. [PDF]
Kempler P +6 more
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
EBCC-15 manifesto: Removing age-related barriers to improve equity in breast cancer care. [PDF]
Poulakaki F +10 more
europepmc +1 more source
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Subsequent memory effect in the inferior frontal gyrus revealed by fNIRS. [PDF]
Bíró P, Collin SHP.
europepmc +1 more source
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source
Imaging a forgotten procedure: AS-OCT of scleral expansion bands. [PDF]
Heckel BE, Bhat AK, Bhat AK, Jhanji V.
europepmc +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
The dynamic evolution trajectory and predictive factors of the forgotten joint score after total knee arthroplasty: a prospective cohort study of 129 patients. [PDF]
Chen Q +6 more
europepmc +1 more source

