AIMC Topic: Reproducibility of Results

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Machine learning framework for assessment of microbial factory performance.

PloS one Jan 15, 2019
Metabolic models can estimate intrinsic product yields for microbial factories, but such frameworks struggle to predict cell performance (including product titer or rate) under suboptimal metabolism and complex bioprocess conditions. On the other han...
Machine Learning Escherichia coli Algorithms Databases, Factual Models, Biological Metabolic Engineering Computer Simulation Reproducibility of Results
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Automated analysis of cardiovascular magnetic resonance myocardial native T mapping images using fully convolutional neural networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 14, 2019
BACKGROUND: Cardiovascular magnetic resonance (CMR) myocardial native T mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T are measured manually by drawing region of interest in motion-corrected T...
Automation Middle Aged Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Myocardium Workflow Image Interpretation, Computer-Assisted Observer Variation Aged Adult Male Cardiovascular Diseases Humans Prospective Studies Female Reproducibility of Results
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Facility Layout Planning with SHELL and Fuzzy AHP Method Based on Human Reliability for Operating Theatre.

Journal of healthcare engineering Jan 14, 2019
A well-design facility layout planning refers to the reduction of the operation cost in the manufacturing and service industry. This work consists of reliability analysis of facility layout for an operating theatre; it aims at proposing a new evaluat...
Decision Making Ergonomics Operating Rooms Facility Design and Construction Humans Reproducibility of Results Fuzzy Logic
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Semi-supervised encoding for outlier detection in clinical observation data.

Computer methods and programs in biomedicine Jan 12, 2019
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that are unlikely to represent the "truth" about a patient at a given clinical encounter. Due to their high throughput, examples of such implausible obser...
Humans Neural Networks, Computer Algorithms Electronic Health Records Medical Informatics Models, Statistical Female Data Interpretation, Statistical Reproducibility of Results Registries Male Data Collection ROC Curve
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Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Interleukin-3 Sensitivity and Specificity Female Male Cohort Studies Reproducibility of Results Humans Middle Aged Hospital Mortality Aged Sepsis Prospective Studies Shock, Septic Adult Prognosis Predictive Value of Tests Intensive Care Units
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Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.

Journal of visualized experiments : JoVE Jan 7, 2019
With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system can be employed to assist the acquisition of real-time ultrasound. However, limited numbers of robots designed for extra-corporeal ultrasound have been...
Ultrasonography Robotics Equipment Design Phantoms, Imaging Humans Reproducibility of Results Biomechanical Phenomena Computer-Aided Design
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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Retrospective Studies Female Reproducibility of Results Aged Humans Machine Learning Prospective Studies Aortic Valve Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted Male Middle Aged Hemodynamics United States Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Automation Proof of Concept Study Blood Flow Velocity Aorta
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MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning.

Physics in medicine and biology Jan 7, 2019
Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel intensities are not related to properties of photon attenuation and bone/air interfaces have similarly low signal. This work presents a learning-based meth...
Female Reproducibility of Results Aged Aged, 80 and over Humans Middle Aged Machine Learning Image Processing, Computer-Assisted Retrospective Studies Magnetic Resonance Imaging Tomography, X-Ray Computed Multimodal Imaging Positron-Emission Tomography Young Adult Adult Brain Neoplasms Male
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Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study.

United European gastroenterology journal Jan 6, 2019
BACKGROUND: Intrapapillary capillary loops (IPCLs) represent an endoscopically visible feature of early squamous cell neoplasia (ESCN) which correlate with invasion depth - an important factor in the success of curative endoscopic therapy. IPCLs visu...
Reproducibility of Results Esophagoscopy Sensitivity and Specificity Humans Male Early Detection of Cancer Artificial Intelligence Image Processing, Computer-Assisted Taiwan Female Neovascularization, Pathologic Esophageal Squamous Cell Carcinoma
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Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.

BMC bioinformatics Jan 5, 2019
BACKGROUND: To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data...
Algorithms Reproducibility of Results Peptides Humans Cell Line, Tumor Machine Learning Proteome Databases, Protein Histocompatibility Antigens Class I Gene Expression Regulation
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