AIMC Topic: High-Throughput Screening Assays
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Label-free detection of cellular drug responses by high-throughput bright-field imaging and machine learning.
Scientific reports
Sep 29, 2017
In the last decade, high-content screening based on multivariate single-cell imaging has been proven effective in drug discovery to evaluate drug-induced phenotypic variations. Unfortunately, this method inherently requires fluorescent labeling which...
Classification and analysis of a large collection of in vivo bioassay descriptions.
PLoS computational biology
Jul 5, 2017
Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance of such experiments for translational medicine, there have been relatively few efforts to comprehens...
Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Cancer letters
Jun 10, 2017
We aimed to identify optimal machine-learning methods for radiomics-based prediction of local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled 110 patients with advanced NPC. A total of 970 radiomic features were ex...
Humans
Decision Support Techniques
Reproducibility of Results
ROC Curve
Support Vector Machine
Magnetic Resonance Imaging
Predictive Value of Tests
Risk Factors
Risk Assessment
Diagnosis, Computer-Assisted
Nasopharyngeal Neoplasms
Image Interpretation, Computer-Assisted
Linear Models
Treatment Failure
Nasopharyngeal Carcinoma
Area Under Curve
Carcinoma
High-Throughput Screening Assays
Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.
Computational biology and chemistry
May 29, 2017
The readily available high throughput screening (HTS) data from the PubChem database provides an opportunity for mining of small molecules in a variety of biological systems using machine learning techniques. From the thousands of available molecular...
Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning.
G3 (Bethesda, Md.)
May 5, 2017
High-throughput microscopy of many single cells generates high-dimensional data that are far from straightforward to analyze. One important problem is automatically detecting the cellular compartment where a fluorescently-tagged protein resides, a ta...
RABiT-II: Implementation of a High-Throughput Micronucleus Biodosimetry Assay on Commercial Biotech Robotic Systems.
Radiation research
Feb 23, 2017
We demonstrate the use of high-throughput biodosimetry platforms based on commercial high-throughput/high-content screening robotic systems. The cytokinesis-block micronucleus (CBMN) assay, using only 20 μl whole blood from a fingerstick, was impleme...
A robotic protocol for high-throughput processing of samples for selected reaction monitoring assays.
Proteomics
Dec 23, 2016
Selected reaction monitoring mass spectrometry (SRM-MS) is a sensitive and accurate method for the quantification of targeted proteins in biological specimens. However, the sample throughput and reliability of this technique is limited by the complex...
Online optimal experimental re-design in robotic parallel fed-batch cultivation facilities.
Biotechnology and bioengineering
Dec 13, 2016
We present an integrated framework for the online optimal experimental re-design applied to parallel nonlinear dynamic processes that aims to precisely estimate the parameter set of macro kinetic growth models with minimal experimental effort. This p...
Machine learning and computer vision approaches for phenotypic profiling.
The Journal of cell biology
Dec 9, 2016
With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to cell segme...
Semiautomated Support Photoelectrochemical Immunosensing Platform for Portable and High-Throughput Immunoassay Based on Au Nanocrystal Decorated Specific Crystal Facets BiVO Photoanode.
Analytical chemistry
Dec 7, 2016
Photoelectrochemical (PEC) measurement has been developed rapidly for bioanalysis in recent years. However, the actual application for most existed PEC bioanalytical systems is still a challenge because the perfect solutions for sensing surface desig...
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