Results 161 to 170 of about 535,963 (306)

FANTASIA suite: a reproducible and configurable framework for embedding-based functional annotation of proteins. [PDF]

NAR Genom Bioinform
Pérez-Canales FM, Domínguez-Rodríguez À, Carbonetto B, Fernández R, Cases I, Rojas AM.   +5 more
europepmc   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
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, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.11.0

<h1>v0.11.0 (2024-01-29)</h1> <h2>Fix</h2> <ul> <li>fix: Added cache for speed benchmark (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

Contrastive learning of adverse events to provide effective and interpretable vector representations for machine-assisted pharmacovigilance. [PDF]

Brief Bioinform
Balogh OM, Pétervári M, Csernák ÁM, Puhl E, Horváth A, Ferdinandy P, Ágg B.   +6 more
europepmc   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

SEFA: Semantic Embedding-Based Feature Augmentation of Biomedical Language-Model Embeddings Improves Interpretable Metabolomic Prediction of Lung Cancer. [PDF]

Biomedicines
Wu J, Haince JF, Bux RA, Huang G, Tappia PS, Ramjiawan B, Vaida M.   +6 more
europepmc   +1 more source

Clinical Impact of MGMT Promoter Methylation in IDH‐Mutant Gliomas: Influence of Threshold Selection and Clinical Confounding

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang, Linxi Cao, Xiaodong Chen, Siqi Tong, Qinghui Zhu, Jun Yang, Song Lin, Yong Cui   +7 more
wiley   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.11.4

<h1>v0.11.4 (2024-02-12)</h1> <h2>Fix</h2> <ul> <li>fix: Added model type and releae date to model meta</li> </ul> <p>This is to allow the tracking of improvement on SEB over time (<a href="https://
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source

LncPNdeep: A long non-coding RNA classifier based on large language model with peptide and nucleotide embedding. [PDF]

Noncoding RNA Res
Dai Z, Deng F, Sung HH.
europepmc   +1 more source

KennethEnevoldsen/scandinavian-embedding-benchmark: v0.13.4

<h1>v0.13.4 (2024-04-08)</h1> <h2>Documentation</h2> <ul> <li>docs: minor updates to tables (<a href="https://github.com/KennethEnevoldsen/scandinavian-embedding-benchmark/commit ...
Márton Kardos, Lasse Hansen, Tim Isbister, Kenneth Enevoldsen   +3 more
core   +1 more source