AIMC Topic: Reproducibility of Results

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Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2.

Ophthalmology May 21, 2020
PURPOSE: To develop deep learning models for detecting reticular pseudodrusen (RPD) using fundus autofluorescence (FAF) images or, alternatively, color fundus photographs (CFP) in the context of age-related macular degeneration (AMD).
Area Under Curve Humans Macular Degeneration Datasets as Topic Optical Imaging Reproducibility of Results Male Female Aged Middle Aged Fluorescein Angiography Aged, 80 and over Deep Learning Ophthalmologists Sensitivity and Specificity ROC Curve Retinal Drusen
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Colour Doppler ultrasound of temporal arteries for the diagnosis of giant cell arteritis: a multicentre deep learning study.

Clinical and experimental rheumatology May 21, 2020
OBJECTIVES: Giant cell arteritis (GCA) is the most common systemic vasculitis in adults. In recent years, colour Doppler ultrasound of the temporal arteries (CDU) has proven to be a powerful non-invasive diagnostic tool, but its place in the diagnosi...
Giant Cell Arteritis Temporal Arteries Humans Algorithms Retrospective Studies Reproducibility of Results Sensitivity and Specificity Deep Learning Predictive Value of Tests Ultrasonography, Doppler, Color
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A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.

European journal of radiology May 20, 2020
PURPOSE: To investigate the effects of different methodologies on the performance of deep learning (DL) model for differentiating high- from low-grade clear cell renal cell carcinoma (ccRCC).
Carcinoma, Renal Cell Predictive Value of Tests Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Middle Aged Humans Kidney Neoplasms Deep Learning Female ROC Curve Retrospective Studies Reproducibility of Results Kidney Tomography, X-Ray Computed Male
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Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.

Urology May 20, 2020
OBJECTIVE: To reliably and quickly diagnose children with posterior urethral valves (PUV), we developed a multi-instance deep learning method to automate image analysis.
Image Interpretation, Computer-Assisted Vesico-Ureteral Reflux Hydronephrosis Urethra Urogenital Abnormalities ROC Curve Kidney Diagnosis, Differential Feasibility Studies Infant Case-Control Studies Deep Learning Ultrasonography Female Humans Infant, Newborn Reproducibility of Results Male
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Automated detection of the head-twitch response using wavelet scalograms and a deep convolutional neural network.

Scientific reports May 20, 2020
Hallucinogens induce the head-twitch response (HTR), a rapid reciprocal head movement, in mice. Although head twitches are usually identified by direct observation, they can also be assessed using a head-mounted magnet and a magnetometer. Procedures ...
Head Movements Behavior Observation Techniques Magnetometry Hallucinogens Models, Animal Magnets Behavior, Animal Reproducibility of Results Sensitivity and Specificity Animals Male Mice Support Vector Machine Drug Evaluation, Preclinical
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Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism Diagnosis.

Scientific reports May 20, 2020
Autism is a developmental condition currently identified by experts using observation, interview, and questionnaire techniques and primarily assessing social and communication deficits. Motor function and movement imitation are also altered in autism...
Humans Eye Movements Supervised Machine Learning Autistic Disorder Eye Movement Measurements Female Reproducibility of Results Adult Male
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Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope.

International journal of molecular sciences May 19, 2020
Computational methods for predicting the macromolecular targets of drugs and drug-like compounds have evolved as a key technology in drug discovery. However, the established validation protocols leave several key questions regarding the performance a...
Machine Learning Reproducibility of Results Drug Discovery Knowledge Bases Molecular Targeted Therapy
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In Silico Prediction of Intestinal Permeability by Hierarchical Support Vector Regression.

International journal of molecular sciences May 19, 2020
The vast majority of marketed drugs are orally administrated. As such, drug absorption is one of the important drug metabolism and pharmacokinetics parameters that should be assessed in the process of drug discovery and development. A nonlinear quant...
Support Vector Machine Regression Analysis Reproducibility of Results Permeability Animals Intestines Rats Humans Computer Simulation
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CytoCensus, mapping cell identity and division in tissues and organs using machine learning.

eLife May 19, 2020
A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends conv...
Mice Mutation Retina Zebrafish Male Larva Time Factors Image Processing, Computer-Assisted Machine Learning Cell Division Phenotype Embryo, Mammalian Tissue Culture Techniques Brain Time-Lapse Imaging Animals, Genetically Modified Female Microscopy, Video Automation Reproducibility of Results Organoids Drosophila melanogaster Animals
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Putative cell type discovery from single-cell gene expression data.

Nature methods May 18, 2020
We present the Single-Cell Clustering Assessment Framework, a method for the automated identification of putative cell types from single-cell RNA sequencing (scRNA-seq) data. By iteratively applying a machine learning approach to a given set of cells...
Gene Expression Datasets as Topic Animals Single-Cell Analysis Humans RNA-Seq Machine Learning Cluster Analysis Software Reproducibility of Results
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