Results 41 to 50 of about 940,462 (236)
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Associative learning plays an important role in the development of anxiety disorders, but a thorough understanding of the variables that impact such learning is still lacking.
Bert eLenaert +4 more
doaj +1 more source
Attention-based neural networks for clinical prediction modelling on electronic health records
Background Deep learning models have had a lot of success in various fields. However, on structured data they have struggled. Here we apply four state-of-the-art supervised deep learning models using the attention mechanism and compare against logistic ...
Egill A. Fridgeirsson +2 more
doaj +1 more source
Semantic Advantage for Learning New Phonological Form Representations [PDF]
Learning a new word requires discrimination between a novel sequence of sounds and similar known words. We investigated whether semantic information facilitates the acquisition of new phonological representations in adults and whether this learning ...
Astle, Duncan +2 more
core +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Context and crowding in perceptual learning on a peripheral contrast discrimination task: context-specificity in contrast learning. [PDF]
Perceptual learning is an improvement in sensitivity due to practice on a sensory task and is generally specific to the trained stimuli and/or tasks. The present study investigated the effect of stimulus configuration and crowding on perceptual learning ...
Nisha S Yeotikar +3 more
doaj +1 more source
Learning to discriminate face view
Although perceptual learning of simple visual features has been studied extensively and intensively for many years, we still know little about the mechanisms of perceptual learning of complex object recognition. In a series of seven experiments, human perceptual learning in discrimination of in-depth orientation of face view was studied using ...
Taiyong, Bi +4 more
openaire +2 more sources
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
The Effect of Chronic Stress on Generalization of Conditioned Fear [PDF]
Prior lifetime experience of stress is a significant risk factor for posttraumatic stress disorder (PTSD) and other anxiety disorders. The mechanisms by which stress conveys these effects are unknown and likely involve complicated neurobiological ...
Senatore, Amanda J
core +1 more source

