Results 191 to 200 of about 29,875 (266)

A standardized workflow for kinetic metabolic model curation and dissemination. [PDF]

PLoS Comput Biol
Cook M, Anastasakis S, Heydarabadipour A, Shin J, Burbano DA, Carothers JM, Sauro HM.   +6 more
europepmc   +1 more source

STHANet: Spatiotemporal Hybrid Attention Network for auditory attention decoding

Journal of Intelligent Medicine, EarlyView.
STHANet integrates depth‐wise spatial filtering, log–variance temporal characterization, and transformer‐based spatiotemporal fusion to model global EEG interactions for direct AAD. Abstract Auditory attention decoding (AAD) aims to detect the target speaker from electroencephalography (EEG) signals in multi‐talker environments.
Xu Han, Hongxing Liu, Guangjian Ni
wiley   +1 more source

strainedSMILES2xyz: a workflow for reliable 3D structures of strained molecules from SMILES. [PDF]

J Cheminform
Demuth T, Schnizer J, Svatunek D.
europepmc   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

plotXVG: Batch Generation of Publication-Quality Graphs from GROMACS Output. [PDF]

J Chem Inf Model
Rosenbaum MK, van der Spoel D.
europepmc   +1 more source

Pre‐Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model‐Enabled Data Extraction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision‐making. Purpose To evaluate whether pre‐imaging clinical information, extracted using a large language model (LLM), is independently associated with cardiac MR image quality. Study Type Retrospective.
Hong Yu, Masha Bondarenko, Ali Nowroozi, Yoo Jin Lee, Adrian Serapio, Punita Kaveti, Jae Ho Sohn   +6 more
wiley   +1 more source

JuNkIE-CLImax: exploring multidimensional images in notebooks and the terminal. [PDF]

MicroPubl Biol
Fernandez-Gonzalez R, Hawkins R.
europepmc   +1 more source

COMPARISON BETWEEN TWO PROGRAMMING LANGUAGES R AND PYTHON

, 2020
openaire   +2 more sources

AI‐Powered Gradient Echo Plural Contrast Imaging (AI‐GEPCI)—A Comprehensive Neurological Protocol From a Single MRI Scan

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background MRI is essential for diagnosing and monitoring neurological diseases. Conventional protocols require multiple sequences to obtain complementary contrasts, increasing scan time, cost, and tolerability. Generating multiple contrasts from a single acquisition may streamline workflow while maintaining clinical utility.
Jeramy Lewis, Manu S. Goyal, Gregory F. Wu, Yuyang Hu, Alexander L. Sukstanskii, Satya V. V. N. Kothapalli, Anne H. Cross, Ulugbek Kamilov, Dmitriy A. Yablonskiy   +8 more
wiley   +1 more source

Evaluating large language models for AI-assisted grading: a framework and case study in higher education. [PDF]

Sci Rep
Saez Y, Garcia LM, Mochon A, Isasi P.
europepmc   +1 more source