Results 211 to 220 of about 6,372,670 (283)
Objective Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó +84 more
wiley +1 more source
Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour. [PDF]
Nesackon Abraham J +5 more
europepmc +1 more source
Objective Rheumatoid arthritis (RA) often involves extra‐articular complications, including interstitial lung disease (ILD) and/or pulmonary nodules. Transcriptomic profiling of lung tissue provides the opportunity to directly assess cell‐specific gene expression and corresponding pathway activation in different types of rheumatoid lung disease ...
Tracy Tabib +8 more
wiley +1 more source
Physical activity phenotypes in endometriosis using unsupervised learning via functional mixture models. [PDF]
Tricoche BT +7 more
europepmc +1 more source
Objectives Sjögren's disease (SjD) is a heterogeneous autoimmune disorder characterized by substantial clinical and molecular diversity. This heterogeneity raises key questions regarding the existence of distinct pathogenic mechanisms underlying disease subtypes.
Geoffrey Urbanski +15 more
wiley +1 more source
Novel bayesian nonparametric unsupervised learning approach to precision symptom management in cancer survivors: a re-analysis of a comparative effectiveness trial. [PDF]
Li Y +4 more
europepmc +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Unsupervised learning to identify symptom clusters in older adults undergoing chemotherapy. [PDF]
Ramsdale E +7 more
europepmc +1 more source
Decoding global precipitation processes and particle evolution using unsupervised learning. [PDF]
King F +4 more
europepmc +1 more source
Enhancing Adeno‐Associated Virus 2 Capsid Engineering Through Co‐Evolutionary Coupling
ABSTRACT Adeno‐associated virus (AAV) has emerged as a leading platform for gene therapy. However, to unlock the full potential, their manufacturing yields, stability, and efficacy must all be improved. Rational design is limited by poor predictability and the potential impact of mutations on multiple important vector properties.
Sirimar Laosinwattana +4 more
wiley +1 more source

