Results 41 to 50 of about 941,916 (317)

Attention-based neural networks for clinical prediction modelling on electronic health records

BMC Medical Research Methodology, 2023
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, David Sontag, Peter Rijnbeek   +2 more
doaj   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Assessment of Replicability and Efforts to Refine an Operant Conditioning Procedure for Larval Zebrafish

Animals
The zebrafish model is rapidly advancing numerous areas of basic and translational research, including toxicology, drug discovery, molecular genetics, genomic research, developmental biology, and the study of human diseases (reviewed in [...]
Christian Agrillo, Eleonora Rovegno, Marco Dadda, Cristiano Bertolucci, Angelo Bisazza   +4 more
doaj   +1 more source

Context and crowding in perceptual learning on a peripheral contrast discrimination task: context-specificity in contrast learning. [PDF]

PLoS ONE, 2013
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, Sieu K Khuu, Lisa J Asper, Catherine M Suttle   +3 more
doaj   +1 more source

Learning to discriminate face view

Journal of Vision, 2010
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, Nihong, Chen, Qiujie, Weng, Dongjun, He, Fang, Fang   +4 more
openaire   +2 more sources

The Effect of Chronic Stress on Generalization of Conditioned Fear [PDF]

, 2016
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

Minimal model of associative learning for cross-situational lexicon acquisition [PDF]

, 2012
An explanation for the acquisition of word-object mappings is the associative learning in a cross-situational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for acquiring a one-to-one mapping ...
Adolphs, Bates, Bloom, Blythe, Bush, Cameron, Feller, Fontanari, Fontanari, Frank, Gleitman, José F. Fontanari, Kachergis, Kachergis, Markman, Paulo F.C. Tilles, Pinker, Quine, Siskind, Sloutsky, Smith, Smith, Smith, Smith, Tilles, Waxman, Xu, Yu, Yu, Yu, Yu   +30 more
core   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
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

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
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, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

From meaning to sound: how word learning shapes non-native speech perception

Frontiers in Psychology
IntroductionAdult learners often struggle to perceive and acquire unfamiliar speech sounds in a second language, especially at the initial stages of learning.
Gabriela Tavares, Yuxin Ge, Yuxin Ge, Susana Correia, Patrick Rebuschat, Patrick Rebuschat   +5 more
doaj   +1 more source