Opportunities and challenges in phenotypic drug discovery: an industry perspective
Phenotypic drug discovery (PDD) approaches do not rely on knowledge of the identity of a
specific drug target or a hypothesis about its role in disease, in contrast to the target-based …
specific drug target or a hypothesis about its role in disease, in contrast to the target-based …
Image-based profiling for drug discovery: due for a machine-learning upgrade?
Image-based profiling is a maturing strategy by which the rich information present in
biological images is reduced to a multidimensional profile, a collection of extracted image …
biological images is reduced to a multidimensional profile, a collection of extracted image …
[HTML][HTML] Data-analysis strategies for image-based cell profiling
Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic
differences among a variety of cell populations. It paves the way to studying biological …
differences among a variety of cell populations. It paves the way to studying biological …
Screening out irrelevant cell-based models of disease
The common and persistent failures to translate promising preclinical drug candidates into
clinical success highlight the limited effectiveness of disease models currently used in drug …
clinical success highlight the limited effectiveness of disease models currently used in drug …
Phenotypic screening in cancer drug discovery—past, present and future
JG Moffat, J Rudolph, D Bailey - Nature reviews Drug discovery, 2014 - nature.com
There has been a resurgence of interest in the use of phenotypic screens in drug discovery
as an alternative to target-focused approaches. Given that oncology is currently the most …
as an alternative to target-focused approaches. Given that oncology is currently the most …
Test-time augmentation for deep learning-based cell segmentation on microscopy images
Recent advancements in deep learning have revolutionized the way microscopy images of
cells are processed. Deep learning network architectures have a large number of …
cells are processed. Deep learning network architectures have a large number of …
Image-based cell phenoty** with deep learning
A cell's phenotype is the culmination of several cellular processes through a complex
network of molecular interactions that ultimately result in a unique morphological signature …
network of molecular interactions that ultimately result in a unique morphological signature …
Transfer learning with deep convolutional neural networks for classifying cellular morphological changes
The quantification and identification of cellular phenotypes from high-content microscopy
images has proven to be very useful for understanding biological activity in response to …
images has proven to be very useful for understanding biological activity in response to …
[HTML][HTML] Machine learning and image-based profiling in drug discovery
The increase in imaging throughput, new analytical frameworks and high-performance
computational resources open new avenues for data-rich phenotypic profiling of small …
computational resources open new avenues for data-rich phenotypic profiling of small …
A multi-scale convolutional neural network for phenoty** high-content cellular images
Motivation Identifying phenotypes based on high-content cellular images is challenging.
Conventional image analysis pipelines for phenotype identification comprise multiple …
Conventional image analysis pipelines for phenotype identification comprise multiple …