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Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Ultrasound in medicine & biology Sep 8, 2020
Fifty years of research on the nature of backscatter from tissues has resulted in a number of promising diagnostic parameters. We recently introduced two analyses tied directly to the biophysics of ultrasound scattering: the H-scan, based on a matche...
Support Vector Machine Rats, Sprague-Dawley Liver Liver Diseases Animals Male Ultrasonography Rats
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Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example.

Pharmacological research Jul 17, 2020
'Polypharmacology' is usually used to describe the network-wide effect of a single compound, but traditional Chinese medicine (TCM) has a polypharmacological effect naturally based on the 'multi-components, multi-targets and multi-pathways' principle...
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Transcriptome Protein Interaction Maps Gene Regulatory Networks Systems Biology Humans Animals Male Gene Expression Profiling Structure-Activity Relationship Molecular Structure Drugs, Chinese Herbal Polypharmacology Dyspepsia Medicine, Chinese Traditional Duodenum Rats, Sprague-Dawley Proteomics Cluster Analysis Proteome Unsupervised Machine Learning Signal Transduction
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Machine learning-based segmentation of ischemic penumbra by using diffusion tensor metrics in a rat model.

Journal of biomedical science Jul 15, 2020
BACKGROUND: Recent trials have shown promise in intra-arterial thrombectomy after the first 6-24 h of stroke onset. Quick and precise identification of the salvageable tissue is essential for successful stroke management. In this study, we examined t...
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Disease Models, Animal Infarction, Middle Cerebral Artery Ischemia Diffusion Tensor Imaging Male ROC Curve Rats Rats, Sprague-Dawley Machine Learning Algorithms Animals
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Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay.

Molecular pharmaceutics Jun 12, 2020
The in vitro-in vivo extrapolation (IVIVE) approach for predicting total plasma clearance (CL) has been widely used to rank order compounds early in discovery. More recently, a computational machine learning approach utilizing physicochemical descrip...
Administration, Intravenous Plasma Metabolic Clearance Rate Membranes, Artificial Microsomes, Liver Hepatocytes Permeability Pharmacokinetics Rats Rats, Sprague-Dawley Liver Blood Proteins Pharmaceutical Preparations Dogs Models, Biological Madin Darby Canine Kidney Cells Machine Learning Animals Male Protein Binding Humans
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Bioinspired Soft Robot with Incorporated Microelectrodes.

Journal of visualized experiments : JoVE Feb 28, 2020
Bioinspired soft robotic systems that mimic living organisms using engineered muscle tissue and biomaterials are revolutionizing the current biorobotics paradigm, especially in biomedical research. Recreating artificial life-like actuation dynamics i...
Microelectrodes Myocardial Contraction Polyethylene Glycols Rats Hydrogels Rats, Sprague-Dawley Biocompatible Materials Robotics Biomimetics Animals Nanotubes, Carbon Myocardium Myocytes, Cardiac Tissue Engineering Tissue Scaffolds
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Growth Factor Delivery for the Repair of a Critical Size Tibia Defect Using an Acellular, Biodegradable Polyethylene Glycol-Albumin Hydrogel Implant.

ACS biomaterials science & engineering Nov 5, 2019
Growth factor delivery using acellular matrices presents a promising alternative to current treatment options for bone repair in critical-size injuries. However, supra-physiological doses of the factors can introduce safety concerns that must be alle...
Absorbable Implants Tibia Polyethylene Glycols Albumins Hydrogels Intercellular Signaling Peptides and Proteins Animals Rats Rats, Sprague-Dawley
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Ovarian Toxicity Assessment in Histopathological Images Using Deep Learning.

Toxicologic pathology Oct 8, 2019
As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pathology is important in early stages of preclinical drug development, particularly when the intended patient population include women of child-bearing ...
Retrospective Studies Female Animals Deep Learning Image Processing, Computer-Assisted Rats Rats, Sprague-Dawley Corpus Luteum
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Responses of midbrain auditory neurons to two different environmental sounds-A new approach on cross-sound modeling.

Bio Systems Sep 28, 2019
When modeling auditory responses to environmental sounds, results are satisfactory if both training and testing are restricted to datasets of one type of sound. To predict 'cross-sound' responses (i.e., to predict the response to one type of sound e....
Neural Networks, Computer Animals Systems Biology Acoustic Stimulation Rats Evoked Potentials, Auditory, Brain Stem Rats, Sprague-Dawley Inferior Colliculi Models, Biological Neurons
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Phasic dopamine release identification using convolutional neural network.

Computers in biology and medicine Sep 25, 2019
Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as well as pathologies such as schizophrenia and Parkinson's disease. Phasic release of dopamine can be measured in vivo with fast-scan cyclic voltammet...
Electrochemical Techniques Dopamine Electrodes, Implanted Male Humans Mice Rats Rats, Sprague-Dawley Neural Networks, Computer Databases, Factual Brain Animals
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Characterization of Nanoscale Organization of F-Actin in Morphologically Distinct Dendritic Spines Using Supervised Learning.

eNeuro Aug 1, 2019
The cytoarchitecture of a neuron is very important in defining morphology and ultrastructure. Although there is a wealth of information on the molecular components that make and regulate these ultrastructures, there is a dearth of understanding of ho...
Dendritic Spines Female Supervised Machine Learning Animals Microscopy Male Hippocampus In Vitro Techniques Actins Image Processing, Computer-Assisted Rats, Sprague-Dawley
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