Results 51 to 60 of about 194,537 (375)

DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method

open access: yesBriefings Bioinform., 2020
Identifying drug-target interactions (DTIs) is an important step for drug discovery and drug repositioning. To reduce the experimental cost, a large number of computational approaches have been proposed for this task.
Yanyi Chu   +8 more
semanticscholar   +1 more source

Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data

open access: yesBasic and Clinical Neuroscience, 2021
Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman’s general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its ...
Aslan Dizaji   +7 more
doaj  

Diffusion Tensor Imaging Correlates with Short-Term Myelopathy Outcome in Patients with Cervical Spondylotic Myelopathy [PDF]

open access: yes, 2017
Objective To determine if spinal cord diffusion tensor imaging indexes correlate with short-term clinical outcome in patients undergoing elective cervical spine surgery for cervical spondylotic myelopathy (CSM).
Eckardt, Gerald   +6 more
core   +2 more sources

A prospective harmonized multicenter DTI study of cerebral white matter degeneration in ALS

open access: yesNeurology, 2020
Objective To evaluate progressive white matter (WM) degeneration in amyotrophic lateral sclerosis (ALS). Methods Sixty-six patients with ALS and 43 healthy controls were enrolled in a prospective, longitudinal, multicenter study in the Canadian ALS ...
S. Kalra   +9 more
semanticscholar   +1 more source

Electroconvulsive therapy mediates neuroplasticity of white matter microstructure in major depression. [PDF]

open access: yes, 2014
Whether plasticity of white matter (WM) microstructure relates to therapeutic response in major depressive disorder (MDD) remains uncertain. We examined diffusion tensor imaging (DTI) correlates of WM structural connectivity in patients receiving ...
Clark, K   +7 more
core   +1 more source

iNGNN-DTI: prediction of drug–target interaction with interpretable nested graph neural network and pretrained molecule models

open access: yesBioinform.
Motivation Drug–target interaction (DTI) prediction aims to identify interactions between drugs and protein targets. Deep learning can automatically learn discriminative features from drug and protein target representations for DTI prediction, but ...
Y. Sun   +3 more
semanticscholar   +1 more source

Optimizing Filter-Probe Diffusion Weighting in the Rat Spinal Cord for Human Translation [PDF]

open access: yes, 2017
Diffusion tensor imaging (DTI) is a promising biomarker of spinal cord injury (SCI). In the acute aftermath, DTI in SCI animal models consistently demonstrates high sensitivity and prognostic performance, yet translation of DTI to acute human SCI has ...
Brian D. Schmit   +5 more
core   +3 more sources

DTI-LM: language model powered drug–target interaction prediction

open access: yesBioinform.
Motivation The identification and understanding of drug–target interactions (DTIs) play a pivotal role in the drug discovery and development process. Sequence representations of drugs and proteins in computational model offer advantages such as their ...
K. Ahmed, Md Istiaq Ansari, Wei Zhang
semanticscholar   +1 more source

A preliminary longitudinal study of white matter alteration in cocaine use disorder subjects [PDF]

open access: yes, 2017
Background Previous diffusion tensor imaging (DTI) studies have consistently shown that subjects with cocaine use disorder (CocUD) had altered white matter microstructure in the corpus callosum.
Boone, Edward L.   +6 more
core   +2 more sources

Advances in functional neuroanatomy: a review of combined DTI and fMRI studies in healthy younger and older adults. [PDF]

open access: yes, 2013
Structural connections between brain regions are thought to influence neural processing within those regions. It follows that alterations to the quality of structural connections should influence the magnitude of neural activity.
Bennett, Ilana J, Rypma, Bart
core   +1 more source

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