AIMC Topic: Biological Specimen Banks

Clear Filters Showing 31 to 40 of 67 articles

Deep learning for sex classification in resting-state and task functional brain networks from the UK Biobank.

NeuroImage Jul 20, 2021
Classification of whole-brain functional connectivity MRI data with convolutional neural networks (CNNs) has shown promise, but the complexity of these models impedes understanding of which aspects of brain activity contribute to classification. Whil...
Databases, Factual Brain Female Male Humans Psychomotor Performance United Kingdom Rest Nerve Net Deep Learning Magnetic Resonance Imaging Biological Specimen Banks Sex Characteristics
View on PubMed DOI

Artificial Intelligence for Screening Chinese Electronic Medical Record and Biobank Information.

Biopreservation and biobanking May 26, 2021
To establish a structured and integrated platform of clinical data and biobank data, and a client to retrieve these data. Initially, the hospital information system (HIS) and biobank information system (BIS) were integrated through the patients' ID...
China Natural Language Processing Biological Specimen Banks Humans Artificial Intelligence Electronic Health Records
View on PubMed DOI

Ethical issues in computational pathology.

Journal of medical ethics Mar 3, 2021
This paper explores ethical issues raised by whole slide image-based computational pathology. After briefly giving examples drawn from some recent literature of advances in this field, we consider some ethical problems it might be thought to pose. Th...
Humans Artificial Intelligence Technology Biological Specimen Banks
View on PubMed DOI

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning.

Nature communications Jan 13, 2021
Recent critical commentaries unfavorably compare deep learning (DL) with standard machine learning (SML) approaches for brain imaging data analysis. However, their conclusions are often based on pre-engineered features depriving DL of its main advant...
Humans Neural Networks, Computer Machine Learning Brain Neuroimaging Deep Learning Magnetic Resonance Imaging Models, Neurological Biological Specimen Banks Female Reproducibility of Results Male
View on PubMed DOI

Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank.

The American journal of cardiology Dec 18, 2020
Heart Failure Biological Specimen Banks Black or African American Prealbumin Area Under Curve Mutation Hispanic or Latino Cardiomyopathies Penetrance Amyloid Neuropathies, Familial Clinical Decision Rules Humans Machine Learning Electronic Health Records Case-Control Studies Incidence ROC Curve
View on PubMed DOI

Artificial intelligence powered statistical genetics in biobanks.

Journal of human genetics Aug 11, 2020
Large-scale, sometimes nationwide, prospective genomic cohorts biobanking rich biological specimens such as blood, urine and tissues, have been established and released their vast amount of data in several countries. These genetic and epidemiological...
Biological Specimen Banks Genome, Human Genomics Polymorphism, Single Nucleotide Genetic Association Studies Computational Biology Artificial Intelligence Reproducibility of Results Genome-Wide Association Study Humans
View on PubMed DOI

Dimensionality reduction reveals fine-scale structure in the Japanese population with consequences for polygenic risk prediction.

Nature communications Mar 26, 2020
The diversity in our genome is crucial to understanding the demographic history of worldwide populations. However, we have yet to know whether subtle genetic differences within a population can be disentangled, or whether they have an impact on compl...
Humans Phenotype Risk Factors Genetic Predisposition to Disease Principal Component Analysis Asian People Multifactorial Inheritance Biological Specimen Banks Genetics, Population Japan Base Sequence Multifactor Dimensionality Reduction
View on PubMed DOI

Optimising network modelling methods for fMRI.

NeuroImage Feb 13, 2020
A major goal of neuroimaging studies is to develop predictive models to analyze the relationship between whole brain functional connectivity patterns and behavioural traits. However, there is no single widely-accepted standard pipeline for analyzing ...
Adult Deep Learning Models, Theoretical Magnetic Resonance Imaging Biological Specimen Banks Datasets as Topic Humans Connectome Neural Networks, Computer
View on PubMed DOI

Purification of viable peripheral blood mononuclear cells for biobanking using a robotized liquid handling workstation.

Journal of translational medicine Nov 12, 2019
BACKGROUND: The purification of peripheral blood mononuclear cells (PBMCs) by means of density gradient (1.07 g/mL) centrifugation is one of the most commonly used methods in diagnostics and research laboratories as well as in biobanks. Here, we eval...
Specimen Handling Cell Separation Erythrocytes Automation Preservation, Biological Humans Erythrocyte Count Female Robotics Male Reproducibility of Results Lymphocytes Middle Aged Aged Biological Specimen Banks Leukocytes, Mononuclear Aged, 80 and over Cell Survival Adult
View on PubMed DOI

Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

NeuroImage Oct 11, 2019
There is significant interest in the development and application of deep neural networks (DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their classical counterparts in a variety of neuroimaging applications, yet there...
Datasets as Topic Adult Sex Factors Connectome Brain Humans Psychomotor Performance Age Factors Male Female Image Interpretation, Computer-Assisted Neural Networks, Computer Middle Aged Magnetic Resonance Imaging Aged Machine Learning Deep Learning Young Adult Intelligence Biological Specimen Banks
View on PubMed DOI
Popular Topics
Recent Journals