AIMC Topic: Datasets as Topic

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Deep Learning for Detection of Elevated Pulmonary Artery Wedge Pressure Using Standard Chest X-Ray.

The Canadian journal of cardiology Feb 18, 2021
BACKGROUND: To accurately diagnose and control heart failure (HF), it is important to carry out a simple assessment of elevated pulmonary arterial wedge pressure (PAWP). The aim of this study was to develop and validate an objective method for detect...
Male Humans Echocardiography Algorithms Deep Learning Pulmonary Wedge Pressure Datasets as Topic Prospective Studies Natriuretic Peptide, Brain Female Radiography, Thoracic Aged Cardiac Catheterization
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Will we successfully avoid the garbage in garbage out problem in imaging data mining? An overview on current concepts and future directions in molecular imaging.

Methods (San Diego, Calif.) Feb 13, 2021
Artificial Intelligence Image Processing, Computer-Assisted Data Mining Molecular Imaging Datasets as Topic Humans
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Leveraging innovative technology to generate drug response phenotypes for the advancement of biomarker-driven precision dosing.

Clinical and translational science Feb 12, 2021
Although traditional approaches to biomarker discovery have elucidated key molecular markers that have improved drug selection (precision medicine), the discovery of biomarkers that inform optimal dose selection (precision dosing) continues to be a c...
Humans Electronic Health Records Treatment Outcome Machine Learning Dose-Response Relationship, Drug Biomarkers Datasets as Topic Precision Medicine
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TAP 1.0: A robust immunoinformatic tool for the prediction of tumor T-cell antigens based on AAindex properties.

Computational biology and chemistry Feb 8, 2021
Immunotherapy is a research area with great potential in drug discovery for cancer treatment. Because of the capacity of tumor antigens to activate the immune response and promote the destruction of tumor cells, they are considered excellent immunoth...
Antigens, Neoplasm Histocompatibility Antigens Class I Datasets as Topic Humans T-Lymphocytes Machine Learning Peptides Algorithms Computational Biology
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Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras.

Ophthalmology. Retina Feb 6, 2021
PURPOSE: Stage is an important feature to identify in retinal images of infants at risk of retinopathy of prematurity (ROP). The purpose of this study was to implement a convolutional neural network (CNN) for binary detection of stages 1, 2, and 3 in...
Humans Female Photography North America Nepal Image Processing, Computer-Assisted Male Area Under Curve Diagnosis, Computer-Assisted Birth Weight Gestational Age Infant, Newborn Datasets as Topic Deep Learning Retinopathy of Prematurity Reproducibility of Results Reference Standards ROC Curve Sensitivity and Specificity
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New machine learning and physics-based scoring functions for drug discovery.

Scientific reports Feb 4, 2021
Scoring functions are essential for modern in silico drug discovery. However, the accurate prediction of binding affinity by scoring functions remains a challenging task. The performance of scoring functions is very heterogeneous across different tar...
Protein Interaction Mapping Drugs, Investigational Protease Inhibitors Peptide Hydrolases Entropy Molecular Docking Simulation Drug Discovery Support Vector Machine Hydrophobic and Hydrophilic Interactions Datasets as Topic Internet Ligands Humans Software Research Design
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Aggregation of cohorts for histopathological diagnosis with deep morphological analysis.

Scientific reports Feb 3, 2021
There have been substantial efforts in using deep learning (DL) to diagnose cancer from digital images of pathology slides. Existing algorithms typically operate by training deep neural networks either specialized in specific cohorts or an aggregate ...
Humans Neoplasms Datasets as Topic Deep Learning Cohort Studies Image Processing, Computer-Assisted
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Deep learning for the fully automated segmentation of the inner ear on MRI.

Scientific reports Feb 3, 2021
Segmentation of anatomical structures is valuable in a variety of tasks, including 3D visualization, surgical planning, and quantitative image analysis. Manual segmentation is time-consuming and deals with intra and inter-observer variability. To dev...
Humans Female Aged Datasets as Topic Deep Learning Ear, Inner Imaging, Three-Dimensional Magnetic Resonance Imaging Feasibility Studies Adult Male Middle Aged
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Algorithmic and human prediction of success in human collaboration from visual features.

Scientific reports Feb 2, 2021
As groups are increasingly taking over individual experts in many tasks, it is ever more important to understand the determinants of group success. In this paper, we study the patterns of group success in Escape The Room, a physical adventure game in...
Facial Recognition Group Processes Games, Experimental Humans Cues Female Datasets as Topic Male Photography Machine Learning Forecasting
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SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction.

International journal of molecular sciences Jan 30, 2021
Computational prediction of Protein-Ligand Interaction (PLI) is an important step in the modern drug discovery pipeline as it mitigates the cost, time, and resources required to screen novel therapeutics. Deep Neural Networks (DNN) have recently show...
Ligands Datasets as Topic Binding Sites Deep Learning Humans Caenorhabditis elegans Protein Binding Animals Protein Structure, Secondary Protein Domains Drug Discovery
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