AIMC Topic: Humans

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Machine-Learning-Driven Surface-Enhanced Raman Scattering Optophysiology Reveals Multiplexed Metabolite Gradients Near Cells.

ACS nano Feb 12, 2019
The extracellular environment is a complex medium in which cells secrete and consume metabolites. Molecular gradients are thereby created near cells, triggering various biological and physiological responses. However, investigating these molecular gr...
Human Umbilical Vein Endothelial Cells Adenosine Triphosphate HeLa Cells Humans Machine Learning Biosensing Techniques Spectrum Analysis, Raman Fibroblasts
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Longitudinal Studies Decision Making Area Under Curve Probability Critical Care Organ Dysfunction Scores Databases, Factual Length of Stay Retrospective Studies Adolescent Critical Illness Hospital Mortality Humans Young Adult Middle Aged Severity of Illness Index Adult Deep Learning Male Intensive Care Units Female Aged
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Characterization of deep neural network features by decodability from human brain activity.

Scientific data Feb 12, 2019
Achievements of near human-level performance in object recognition by deep neural networks (DNNs) have triggered a flood of comparative studies between the brain and DNNs. Using a DNN as a proxy for hierarchical visual representations, our recent stu...
Visual Perception Nervous System Physiological Phenomena Humans Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping
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ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques.

Journal of medical systems Feb 12, 2019
As is eminent, lung cancer is one of the death frightening syndromes among people in present cases. The earlier diagnosis and treatment of lung cancer can increase the endurance rate of the affected people. But, the structure of the cancer cell makes...
Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Support Vector Machine Fuzzy Logic Humans Sensitivity and Specificity Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed
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Defining host-pathogen interactions employing an artificial intelligence workflow.

eLife Feb 12, 2019
UNLABELLED: For image-based infection biology, accurate unbiased quantification of host-pathogen interactions is essential, yet often performed manually or using limited enumeration employing simple image analysis algorithms based on image segmentati...
Toxoplasma HeLa Cells Host-Pathogen Interactions Artificial Intelligence Single-Cell Analysis Image Processing, Computer-Assisted Salmonella typhimurium Microscopy, Fluorescence Workflow Humans
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(Not) hearing happiness: Predicting fluctuations in happy mood from acoustic cues using machine learning.

Emotion (Washington, D.C.) Feb 11, 2019
Recent popular claims surrounding virtual assistants suggest that computers will soon be able to hear our emotions. Supporting this possibility, promising work has harnessed big data and emergent technologies to automatically predict stable levels of...
Humans Machine Learning Female Emotions Cues Happiness Young Adult Adult Male
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Memristive Imitation of Synaptic Transmission and Plasticity.

IEEE transactions on neural networks and learning systems Feb 11, 2019
In this paper, a memristive artificial neural circuit imitating the excitatory chemical synaptic transmission of biological synapse is designed. The proposed memristor-based neural circuit exhibits synaptic plasticity, one of the important neurochemi...
Synaptic Transmission Humans Neural Networks, Computer Imitative Behavior Neuronal Plasticity
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Journal of clinical epidemiology Feb 11, 2019
OBJECTIVES: The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
Logistic Models Area Under Curve Models, Theoretical Humans Predictive Value of Tests Supervised Machine Learning Algorithms Outcome Assessment, Health Care Sensitivity and Specificity
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An effective and accurate identification system of Mycobacterium tuberculosis using convolution neural networks.

Microscopy research and technique Feb 11, 2019
Tuberculosis (TB) remains the leading cause of morbidity and mortality from infectious disease in developing countries. The sputum smear microscopy remains the primary diagnostic laboratory test. However, microscopic examination is always time-consum...
Mycobacterium tuberculosis Sputum Microscopy Tuberculosis, Pulmonary Humans Neural Networks, Computer Image Processing, Computer-Assisted
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Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project.

Journal of chemical information and modeling Feb 11, 2019
The nuclear androgen receptor (AR) is one of the most relevant biological targets of Endocrine Disrupting Chemicals (EDCs), which produce adverse effects by interfering with hormonal regulation and endocrine system functioning. This paper describes n...
Humans Machine Learning Software Receptors, Androgen Endocrine Disruptors Androgens Molecular Docking Simulation Androgen Receptor Antagonists Drug Discovery Protein Binding
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